Horizon Seminar: Senior Instructors

Nadia is a PhD candidate at the Wellcome Centre for Human Genetics at the University of Oxford. Her research focuses on colorectal cancer and inflammatory bowel disease, looking into the link between inflammation and tumorigenesis. She specifically focuses on the molecular characterization of colitis-associated colorectal cancer, with the aim of elucidating the carcinogenic pathway of this type of colorectal cancer and the ultimate goal of improving patient management and treatment. She undertook her undergraduate studies in Biomedical Sciences at the University of Westminster, London, and she completed a master’s degree in Human Molecular Genetics at Imperial College London, London. She then took up a position as Research Assistant in Colorectal Cancer at the University of Oxford, prior to starting her PhD.

Niki is a PhD candidate in Emily Mace’s lab at Columbia University in New York City. Niki received her Bachelor’s in Biology at the University of Delaware and holds a Masters in Biomaterial Science from New York University as well as a Masters in Nutritional and Metabolic Biology from Columbia University. She previously gained industry experience in several STEM fields including polymer science, biochemistry, and biomaterials science. Her current research is focused on human immunodeficiencies that affect natural killer cells to gain a better understanding of the biology of the immune system. In her work, she utilizes a wide variety of experimental approaches, including analyzing gene expression, microscopy, and flow cytometry. As she works towards her PhD degree, Niki’s ultimate goal is to identify and pursue potential immunotherapies for natural killer cell deficiencies.

Dr. Everardo completed his doctoral studies in Cellular, Molecular, and Biomedical Studies at Columbia University and is now a postdoctoral researcher there. During his PhD, Evey studied human Natural Killer (NK) cell immunobiology and development in the Mace Lab, located at Columbia University Irving Medical Center: College of Physicians and Surgeons. He received a Master of Arts in cellular, molecular and biomedical sciences as well as multiple NIH diversity grants for my studies on defining the molecular requirements of human NK cell development. Before his studies at Columbia University, he started my scientific career by pursuing a BS in Microbiology and a Master of Science in Biological Sciences from UC San Diego. His thesis work at UC San Diego focused on delineating principals of directed evolution of viruses by using lambda phage as a model. Overall, his goal is to pursue a career as a principal investigator at a research institution where he can focus on studying Host-Pathogen interactions and evolution.

William is a PhD candidate at the University of Cambridge working on the design of biosensors utilising a high precision inkjet printer. Working jointly between the Department of Chemical Engineering and Physics he is concerned with the patterning of biomolecules onto optical wafers to create novel sensing strategies. Originally a Physics/Computer science and Marine Engineering graduate, he has worked as an engineer within the Merchant Navy and as a research and development scientist for a Clean Energy Fuel Cell company. In his spare time he enjoys playing classical guitar and walking.

Dr. Eoghan Mulholland is the Lee Placito Research Fellow in Gastrointestinal Cancer at the University of Oxford and a Junior Research Fellow of Somerville College Oxford. Before starting at the University of Oxford, Eoghan completed his doctoral studies at Queen’s University Belfast where he studied and developed novel gene therapy options for tissue regeneration. Eoghan’s current research explores how cells from the immune system and stromal compartment communicate with cancer cells, and how this can be exploited for cancer therapies. Eoghan has experience working with tissue cultures, animal models of cancer, gene therapies, as well as protein and nucleic acid detection in situ.

Brock was born in La Crescenta, California where he currently resides. He received his undergraduate degree in Interdisciplinary Studies -- Systems Neuroscience from Hendrix College in 2016. After graduating, he joined the Cardiovascular Research Center at Massachusetts General Hospital as a research technician where he used CRISPR-modified zebrafish to investigate genetic contributions to schizophrenia. Brock then enrolled in the Neuroscience Graduate Program at USC where he earned his PhD in 2023. His dissertation work leveraged large fMRI and EEG datasets to uncover the effects of long-term meditation training on brain network connectivity. While at USC, he also identified how mild traumatic brain injury contributes to the development of Alzheimer's disease, investigated the neurological basis of empathy, developed a theoretical supervised learning paradigm to develop empathetic machines, and uncovered a novel role for the proton-sensing receptor, GPR4. Outside of the lab, Brock loves to run, play guitar, and hang out with his wife in nature.

Corrado is a postdoctoral Researcher at the University of Cambridge. He is currently working in the department of Engineering to develop an in vitro model of human lung for disease modeling and drug testing, working in close collaboration with medical doctors, bioinformaticians and engineers. He obtained his PhD in 2022 at the University of Cambridge where his work was focused on immunology and the tumor microenvironment. His main research interests spread from biotechnology, 3D bioprinting, biofabrication and enjoys applying novel computational methods to examine large sets of data in the field of genomics and single cell RNA-sequencing.

Dr. Nina H is a bioengineer and mathematician who loves studying cancer biology, synthetic immunology, and evolutionary games. Currently, she runs the Research & Development division of ImmuneBridge, a biotechnology startup that manufactures cancer immunotherapies from stem cells found in umbilical cord blood. She earned her Bachelor's in Mathematics and Biology with Honors from Williams College and her Master's and PhD in Bioengineering from Stanford University. She has worked at the Icahn Institute for Genomics and Multiscale Biology at Mount Sinai, the Orthopaedic Research Laboratory at Boston University, in developmental biology and evolutionary biology laboratories at Williams College, and in several immunotherapy laboratories at Stanford. Her doctoral research focused on engineering natural killer cells to infiltrate and destroy solid tumors. Her life goal is to cure cancer and have as much fun skiing, fishing, and mountain biking as she can along the way!

Andrew is a PhD psychology student in the Integrative Neuroscience program at University of Chicago. He is broadly interested in neural processes of valuation and decision making. He works in a neuroethology lab studying electrophysiological mechanisms of auditory perception and choice behavior in a songbird model. Andrew is especially interested in how female songbirds perceive the temporal features of male song, how this affects song preferences, and whether this relates to music and language processing in humans. Prior to beginning this research, he earned a bachelor's degree in Music with a minor in Philosophy. He then completed post-baccalaureate work in cognitive science. As a research assistant at Oregon Health and Science University, he used diffusion tensor imaging and measures of cognition and temperament to study the association between white matter microstructure and impulsivity in children. Andrew has also worked as a music instructor, English teacher, and biochemistry tutor, and has given many presentations via his public Meetup group, Brain & Cognitive Science Seminar.

Carolina is a PhD student in the Committee of Neurobiology at the University of Chicago. Her research interests are at the intersection of Neurobiology, Physiology, and Molecular Biology. She’s currently focused on understanding how sleep apnea disrupts brain networks important for memory and learning. She received her Bachelor’s Degree in Biology, during which time she worked extensively on identifying and characterizing mutations in the human population that may disrupt dopamine signaling. During this time, she also worked in identifying the effects of pH on the activity of proteins that have been implicated in Alzheimer’s disease. Carolina has a long history of biomedical research that has been funded by the National Institutes of Health in fields such as human genetics, translational nanotechnology, and neurobiology.

Kenny Kuhn is a PhD candidate in Dr. Martin Hetzer’s lab in the Department of Neuroscience at the Salk Institute of Biological Sciences. His work aims to understand how changes to the organization of the genome with age can result in dysregulated gene expression and accelerate the development of Alzheimer’s disease. This work takes advantage recent advances in stem cell biology that permit the production of human cortical neurons directly from skin cells, allowing access to otherwise rare samples. He performed his undergraduate work at the University of Virginia while studying neurotrophin signaling and has held a position as a research assistant at the University of Würzburg in Germany.

Paula Martorell is a PhD candidate working in the Department of Neurodegenerative Disorders at the University Hospital Bonn and the laboratory Neuroinflammation at the German Center for Neurodegenerative Diseases (DZNE) lead by Prof. Dr. Michael Heneka. Her research focuses in investigating the activation of innate immune pathways during neurodegenerative diseases such as Alzheimer’s disease (AD). More particularly, her project aims to uncover the role of the cGAS-STING immune pathway during AD, and the cross-talk between microglia, astrocytes, and neurons in this pathological context. She performed her bachelor studies in Biotechnology at the National University of Tucumán, Argentina. She then obtained a scholarship to conduct a Master in Neurosciences at the Sorbonne University in Paris. She was introduced to the field of Neuroimmunology during her Master’s thesis at the laboratory of Experimental Therapeutics of Neurodegeneration, at the Brain & Spine Institute (ICM) located at the Pitié-Salpêtrière University Hospital.

Lasya Sreepada is a Bioengineering PhD Candidate at the University of Pennsylvania working with Dr. Corey McMillan and Dr. David Wolk in the Bioinformatics in Neurodegenerative Disease Lab as part of the Penn Alzheimer's Disease Research Center. Lasya is passionate about interdisciplinary collaborations weaving neuroscience, data science, and pharmaceuticals to design and deliver innovative therapeutic solutions that make a difference in global healthcare. For her PhD, Lasya studies atypicality in Alzheimer's disease by applying bioinformatics and AI approaches to analyze neuroimaging and multiomics data to better understand heterogeneous disease mechanisms. As an undergraduate, Lasya worked with Dr. Alexander Lin at the Center for Clinical Spectroscopy, Harvard Medical School, to identify molecular biomarkers of neurotrauma. Lasya received her B.S. in Neuroscience from Yale University in 2019 and will receive her M.S. in Data Science from Penn, en route to the PhD, in 2023.

Karly is a Gates Cambridge Scholar and a PhD researcher in Psychology at the University of Cambridge. Additionally, Karly teaches on undergraduate courses in the Department of Psychology and Judge Business School at the University of Cambridge. She received her BA (Hons.) in Psychology from the University of British Columbia and an MPhil in Social and Developmental Psychology from the University of Cambridge. Broadly, she is interested in psychological, behavioural, and systems change. Her current research aims to improve gender equity, diversity, and inclusion. She designs and evaluates theory-driven interventions and investigates the cognitive, emotional, and social mechanisms involved in maintaining and – most importantly – reducing the effects of gender biases. Outside of academia, Karly is a hip-hop dancer and choreographer.

Christina is a Gates Cambridge Scholar and a PhD candidate in Clinical Neurosciences at the University of Cambridge. She received her BSc in Biomedical Sciences with Honours in Neuroscience from the University of Edinburgh and then did her MPhil in Medical Science at the University of Cambridge. Her MPhil project investigated the role of a prodegenerative protein in models of neuroinflammation. Her current research focuses on understanding molecular mechanisms responsible for axon degeneration with the aim of developing ways to target them in order to halt the progression of neurodegenerative conditions.

Emily is a PhD candidate at the University of Cambridge and a Gates-Cambridge Scholar. Her research interests include learning, mental health in adolescence, and early life stress. She is currently investigating the ways in which social isolation influences adolescent learning, mental health, and reward processing, and whether social media may help remediate the effects of isolation. In addition, she applies neuroimaging techniques to understand how brain structure and function develop in adolescence and how these factors relate to behavior.

Dillon is a PhD candidate and Gates Scholar at the Centre for Misfolding Diseases, University of Cambridge. His research focuses on misfolding protein diseases and disorders. Most notably, he has designed high-throughput in vitro drug screening assays for tau protein in Alzheimer's disease and Pick’s disease. Other notable works of his include the effects of site-specific posttranslational modifications on the tau-microtubule complex, the biophysical characterization of aminosterols interactions with pore-forming peptides, and the aggregation kinetics of tau within droplets of a biphasic system. Dillon previously obtained his B.S. Biochemistry at Loyola Marymount University, Los Angeles, CA. Over 8 years, Dillon has also worked as a tutor. He has experience teaching students in material and lab practical skills from 5th grade to the graduate level. Beyond the lab, he is enrolled in an entrepreneurial certification programme at the Cambridge Judge Business School. He serves as an editor for the Cambridge Journal of Science & Policy (CJSP) and was the President of the postgraduate society of St John's College, University of Cambridge.

Debby Abramov is an eighth year MD/PhD candidate at the Tri-Institutional MD/PhD program at Weill Cornell. She completed in PhD in neuroscience at Weill Cornell and her research focused on understanding the molecular mechanisms of neuronal dysfunction caused by mutations in the chaperone protein Munc18-1. She is now completing her final year of medical school. Before pursuing her MD/PhD, she earned her undergraduate degree in Molecular Biophysics and Biochemistry at Yale University in New Haven, CT.

Brock was born in La Crescenta, California where he currently resides. He received his undergraduate degree in Interdisciplinary Studies -- Systems Neuroscience from Hendrix College in 2016. After graduating, he joined the Cardiovascular Research Center at Massachusetts General Hospital as a research technician where he used CRISPR-modified zebrafish to investigate genetic contributions to schizophrenia. Brock then enrolled in the Neuroscience Graduate Program at USC where he earned his PhD in 2023. His dissertation work leveraged large fMRI and EEG datasets to uncover the effects of long-term meditation training on brain network connectivity. While at USC, he also identified how mild traumatic brain injury contributes to the development of Alzheimer's disease, investigated the neurological basis of empathy, developed a theoretical supervised learning paradigm to develop empathetic machines, and uncovered a novel role for the proton-sensing receptor, GPR4. Outside of the lab, Brock loves to run, play guitar, and hang out with his wife in nature.

Carlos is a 5th year PhD candidate from the Cellular and Molecular Department at University of Chicago. Currently, he is studying the origination and maintenance of protein complexes and allostery. He does this by using biochemical and biophysics techniques on the bench and phylogenetics. Together, he is resurrecting proteins that have not existed in millions of years and identifying the precise amino acid changes that caused the evolution of both protein features. He is originally from Los Angeles, California where he was a first-generation college student from immigrant parents.

Dillon is a PhD candidate and Gates Scholar at the Centre for Misfolding Diseases, University of Cambridge. His research focuses on misfolding protein diseases and disorders. Most notably, he has designed high-throughput in vitro drug screening assays for tau protein in Alzheimer's disease and Pick’s disease. Other notable works of his include the effects of site-specific posttranslational modifications on the tau-microtubule complex, the biophysical characterization of aminosterols interactions with pore-forming peptides, and the aggregation kinetics of tau within droplets of a biphasic system. Dillon previously obtained his B.S. Biochemistry at Loyola Marymount University, Los Angeles, CA. Over 8 years, Dillon has also worked as a tutor. He has experience teaching students in material and lab practical skills from 5th grade to the graduate level. Beyond the lab, he is enrolled in an entrepreneurial certification programme at the Cambridge Judge Business School. He serves as an editor for the Cambridge Journal of Science & Policy (CJSP) and was the President of the postgraduate society of St John's College, University of Cambridge.

Rebeca has over ten years of experience in the field of Biological Sciences and Genetics. She received her PhD in Genetics from Downing College at the University of Cambridge. Her PhD project focused on understanding the consequences of centrosome amplification in pancreatic cancer, using pancreatic organoids as a model system. Rebeca also has a Masters in Cancer Research and a Degree in Molecular Cell Biology from the University of York. She is a published author with two peer-reviewed papers in high-impact journals, including Genes and Development and Nature Communications. Rebeca has extensive experience as an academic tutor, having taught both at the University of Cambridge and as a private tutor. Currently, she works as a research program manager in the non-profit sector in the field of rare diseases, guiding research efforts to better understand their underlying biology with the hope of unlocking potential therapeutic options.

Niki is a PhD candidate in Emily Mace’s lab at Columbia University in New York City. Niki received her Bachelor’s in Biology at the University of Delaware and holds a Masters in Biomaterial Science from New York University as well as a Masters in Nutritional and Metabolic Biology from Columbia University. She previously gained industry experience in several STEM fields including polymer science, biochemistry, and biomaterials science. Her current research is focused on human immunodeficiencies that affect natural killer cells to gain a better understanding of the biology of the immune system. In her work, she utilizes a wide variety of experimental approaches, including analyzing gene expression, microscopy, and flow cytometry. As she works towards her PhD degree, Niki’s ultimate goal is to identify and pursue potential immunotherapies for natural killer cell deficiencies.

Dr. Everardo completed his doctoral studies in Cellular, Molecular, and Biomedical Studies at Columbia University and is now a postdoctoral researcher there. During his PhD, Evey studied human Natural Killer (NK) cell immunobiology and development in the Mace Lab, located at Columbia University Irving Medical Center: College of Physicians and Surgeons. He received a Master of Arts in cellular, molecular and biomedical sciences as well as multiple NIH diversity grants for my studies on defining the molecular requirements of human NK cell development. Before his studies at Columbia University, he started my scientific career by pursuing a BS in Microbiology and a Master of Science in Biological Sciences from UC San Diego. His thesis work at UC San Diego focused on delineating principals of directed evolution of viruses by using lambda phage as a model. Overall, his goal is to pursue a career as a principal investigator at a research institution where he can focus on studying Host-Pathogen interactions and evolution.

Corrado is a postdoctoral Researcher at the University of Cambridge. He is currently working in the department of Engineering to develop an in vitro model of human lung for disease modeling and drug testing, working in close collaboration with medical doctors, bioinformaticians and engineers. He obtained his PhD in 2022 at the University of Cambridge where his work was focused on immunology and the tumor microenvironment. His main research interests spread from biotechnology, 3D bioprinting, biofabrication and enjoys applying novel computational methods to examine large sets of data in the field of genomics and single cell RNA-sequencing.

Sam earned both his Masters in Advanced Chemical Engineering and PhD in Biotechnology from the University of Cambridge, followed by a year of post-doctoral research at the same institution. He then completed a medical degree and is currently in training to become a Cardiologist. Broadly, his research investigates the design and clinical application of nanoparticle-based drug delivery systems for cancer therapy. Sam is particularly interested in targeting these nanoparticles to specific locations within tumor cells, such as mitochondria. He is also interested in developing treatment solutions for hard-to-reach and hard-to-treat cancers such as those of the brain, lungs, and pancreas.

Tom M. is a research fellow at the University of Cambridge in the Department of Chemical Engineering and Biotechnology. The project was in collaboration with Infineum UK Ltd. to explore the mechanism of friction reduction and anti-wear caused by small molecular additives in engine oil formulations. Tom earned his PhD in Physical Chemistry in 2018 at Monash University, Melbourne, Australia. His PhD research investigated the chemical processing of atomically thin carbon nanomaterials in water for the purposes of water purification and oil recovery. In addition, he explored the self-assembly of surfactant molecules that form complex fluids using a technique called neutron scattering. In his spare time, Tom enjoys travelling, playing piano and basketball.

Ahmed is a Ph.D. researcher in Chemical Engineering at the University of Cambridge. His project focuses on thin-film formation via drying of cosmetic products in collaboration with Unilever UK. The project investigates final film morphology and the stability of droplets during and after the drying of cosmetic formulations. The project combines both computational and experimental methods ranging from optical imaging, surface characterization, infrared spectroscopy, and Raman spectroscopy which are complemented by mathematical modeling. Ahmed is currently supervising second-year undergraduate students in introduction to chemical engineering, fluid mechanics, and chemical engineering laboratories. Ahmed completed his bachelor's and master's degrees at the University of Leeds in 2018. He worked on his postgraduate research project to encapsulate phase change materials (PCMs) with metallic shells, which store and release energy during temperature fluctuations. These can be commercially used to optimize heat transfer in industrial applications e.g. heat exchangers and domestic heating.

Dr. Connor T. is a postdoctoral researcher at the University of Cambridge and his research focuses on the intersections between chemistry, chemical engineering and computer science. In his own research, Connor utilizes machine learning for drug discovery techniques, automation in chemical reaction optimization and leveraging emerging chemical tools for novel pharmaceutical synthesis. He has a particular interest in topics that relate to flow chemistry, high-throughput experimentation, fragment-based drug discovery, reaction self-optimization, ML methods in chemistry and modern synthetic techniques. He has published several peer-reviewed papers and has had great success in tutoring students from the high school level all the way to PhD level and finds the process of writing/reviewing papers very rewarding. He has an excellent track record of developing his tutees and is open to further students.

Dillon is a PhD candidate and Gates Scholar at the Centre for Misfolding Diseases, University of Cambridge. His research focuses on misfolding protein diseases and disorders. Most notably, he has designed high-throughput in vitro drug screening assays for tau protein in Alzheimer's disease and Pick’s disease. Other notable works of his include the effects of site-specific posttranslational modifications on the tau-microtubule complex, the biophysical characterization of aminosterols interactions with pore-forming peptides, and the aggregation kinetics of tau within droplets of a biphasic system. Dillon previously obtained his B.S. Biochemistry at Loyola Marymount University, Los Angeles, CA. Over 8 years, Dillon has also worked as a tutor. He has experience teaching students in material and lab practical skills from 5th grade to the graduate level. Beyond the lab, he is enrolled in an entrepreneurial certification programme at the Cambridge Judge Business School. He serves as an editor for the Cambridge Journal of Science & Policy (CJSP) and was the President of the postgraduate society of St John's College, University of Cambridge.

Hochan "Sonny" is a PhD candidate in Political Theory at Princeton University, where he is undertaking the Program in Political Philosophy. He holds a BPhil in Philosophy from the University of Oxford as well as a BA in Philosophy and in Political Science from Brown University.

Dr. Parsa A. is Research Associate at the University of Cambridge working in Statistical Genetics. He received his PhD from Downing College at the University of Cambridge in Statistical Genetics. Parsa has both academic and commercial experience in the application of statistical analysis to generate commercial and scientific value. In the past Parsa has worked for UCB Biopharma to develop Machine Learning algorithms predicting the side effects of drug compounds, and has worked as a consultant role with organisations based in Beijing, New York and Los Angeles providing training and advice in the implementation of statistical models. Parsa co-founded an online technology platform allowing the open source online generation of content by users which was sold in 2013. Parsa contributes to Downing Enterprise with his strong links to the entrepreneurial community in Cambridge including as a former president of the Cambridge Data Society, connection to the Judge Business School via the Accelerate programme, and previous role as Information Officer of the Cambridge Technology and Enterprise Society.

Angelina is a current PhD student in Computer Science at Princeton University. She is interested in machine learning fairness and algorithmic bias. More broadly, she is also interested in how technology impacts society. She has interned at Google twice. She was a Regents and Chancellors' Scholar at U.C. Berkeley, where she also served as an Academic Officer at Machine Learning @ Berkeley and a course assistant for the Introduction to Machine Learning course.

Lasya Sreepada is a Bioengineering PhD Candidate at the University of Pennsylvania working with Dr. Corey McMillan and Dr. David Wolk in the Bioinformatics in Neurodegenerative Disease Lab as part of the Penn Alzheimer's Disease Research Center. Lasya is passionate about interdisciplinary collaborations weaving neuroscience, data science, and pharmaceuticals to design and deliver innovative therapeutic solutions that make a difference in global healthcare. For her PhD, Lasya studies atypicality in Alzheimer's disease by applying bioinformatics and AI approaches to analyze neuroimaging and multiomics data to better understand heterogeneous disease mechanisms. As an undergraduate, Lasya worked with Dr. Alexander Lin at the Center for Clinical Spectroscopy, Harvard Medical School, to identify molecular biomarkers of neurotrauma. Lasya received her B.S. in Neuroscience from Yale University in 2019 and will receive her M.S. in Data Science from Penn, en route to the PhD, in 2023.

Pramit is a PhD candidate in the Department of Engineering Science at the University of Oxford and part of its Biomedical Image Analysis (BioMedIA) cluster. His research interests primarily lie in the areas of machine learning, deep learning, computer vision, medical image analysis, brain computer interfaces, and human speech motor control. More specifically, Pramit’s work focuses on developing federated learning algorithms for facilitating multi-institutional collaborations in healthcare. He also works on solving challenges related to class imbalance, non-IID data distribution, self-supervised and semi-supervised learning. In 2020, Pramit was awarded the prestigious Young Scientist Award by MICCAI Society for his contributions towards developing machine learning models for artificial speech synthesis from tongue movements. Prior to this, Pramit graduated from the University of British Columbia, Vancouver, Canada, with an MASc degree in Electrical and Computer Engineering in February 2021.

Joe has a PhD in Biomedical Engineering from the University of Minnesota, Twin-Cities, focusing on neuromodulation and neural interfaces research. He also has a B.S. in Bioengineering from UC Berkeley and a M.S. in Computer Science (Data Science Track) from the University of Illinois, Urbana-Champaign. Currently, Joe is a senior principal data scientist at UnitedHealth Group. He has previously worked as an AI scientist at Target, data scientist at General Mills, and research scientist Medtronic and Starkey Hearing Technologies. Joe's expertise includes machine learning, signal processing, statistical analysis, computational modeling, and neuromodulation.

Andreas is a Postdoctoral Research Fellow affiliated with the Computer Lab of the University of Cambridge. His interests lie in the intersection of Machine Learning and its applications to healthcare and scheduling within large scale systems – with a particular interest in the broad federated learning domain. The outcome of his research led to multiple publications in high-impact venues and journals such NeurIPS, KDD, ICASSP, TNSE, TPAMI, NPJ, and others. He is also a founding member of the COVID-19 Sounds initiative, which is a pioneering project aimed at diagnosing COVID-19 through the use of voice, breathing, and coughing sounds. Further, during these activities he was the supervisor of several students undertaking their undergraduate or master thesis in the aforementioned topics, all of which successfully defended.

Daniel Gurevich is a PhD candidate in the Program in Applied & Computational Mathematics at Princeton University. He mainly works on data-driven algorithms for discovering governing equations in systems such as fluid flows, active particles, and swarms & flocks of animals. His other projects have resulted in peer-reviewed publications in cardiac dynamics, theoretical fluid dynamics, and control theory, as well as internships in data science and legal artificial intelligence.

Haley Wohlever is a PhD student in the mechanical engineering department at the University of California, Berkeley. She is currently studying applications of Computational Fluid Dynamics (CFD) to a variety of problems including oceanic vortex stability, ice stupas, and green desalination. She is interested in context-driven design, interdisciplinary research, and the intersection of food, energy, and water systems.

William is a PhD candidate at the University of Cambridge working on the design of biosensors utilising a high precision inkjet printer. Working jointly between the Department of Chemical Engineering and Physics he is concerned with the patterning of biomolecules onto optical wafers to create novel sensing strategies. Originally a Physics/Computer science and Marine Engineering graduate, he has worked as an engineer within the Merchant Navy and as a research and development scientist for a Clean Energy Fuel Cell company. In his spare time he enjoys playing classical guitar and walking.

Scott E. is a PhD candidate in chemical engineering at the University of Cambridge. His PhD research focuses on applying magnetic resonance imaging (MRI) methods to quantify flow and molecular transport in porous systems such as rocks and materials used for heterogeneous catalysis. Prior to beginning his PhD work, Scott completed research internships in both the oil and chemical products industry, where his work included modeling fluid mixing in chemical reactors, and the development of novel non-stick coatings.

Miguel is a Mechanical Engineering PhD candidate at Johns Hopkins University in Fluids, specifically studying multiphase flow with Dr. Rui Ni. He was born in Puerto Rico and mostly raised in New York City. Miguel's research work primarily investigates the interaction of solid particles in turbulence with applications in understanding regolith dynamics during the descent of a lander on an extraterrestrial body (moon or mars) through his NASA fellowship and understanding the effect of high temperature (2000-2300 degrees Fahrenheit) on the deposition of solid particles on jet engine turbines with funding from the Office of Naval Research. He has also done Artemis related research with NASA Marshall, NASA Kennedy Space Center, and NASA Langley, all through his NASA fellowship. Miguel's hobbies include Percussionist, learning Japanese, exercising, video games, and plenty more. He is known for constantly having a handful of hobbies that he cycle between.

Daniel Gurevich is a PhD candidate in the Program in Applied & Computational Mathematics at Princeton University. He mainly works on data-driven algorithms for discovering governing equations in systems such as fluid flows, active particles, and swarms & flocks of animals. His other projects have resulted in peer-reviewed publications in cardiac dynamics, theoretical fluid dynamics, and control theory, as well as internships in data science and legal artificial intelligence.

Zeeshan Samad is an Assistant Professor of Economics at the American University of Beirut. Previously, he has worked as a Postdoctoral Fellow at Utah State University and as an Economist at the World Bank. His research areas include behavioral economics, game theory, labor economics, and microeconomics. Zeeshan has a PhD in Economics from Vanderbilt and a Master of Public Policy from the University of Maryland College Park.

Dr. Alasdair Craig graduated with a PhD in Philosophy from the University of Oxford in 2022. His research was at the intersection of epistemology, the philosophy of mind and cognitive science. While at Oxford he taught undergraduate courses in the philosophy of mind, epistemology, the philosophy of cognitive science, logic and metaphysics, as well as courses in essay-writing and study skills. Since 2023, Dr Craig has been working in academic publishing while continuing to teach courses in philosophy to undergraduates.

Dr. Parsa A. is Research Associate at the University of Cambridge working in Statistical Genetics. He received his PhD from Downing College at the University of Cambridge in Statistical Genetics. Parsa has both academic and commercial experience in the application of statistical analysis to generate commercial and scientific value. In the past Parsa has worked for UCB Biopharma to develop Machine Learning algorithms predicting the side effects of drug compounds, and has worked as a consultant role with organisations based in Beijing, New York and Los Angeles providing training and advice in the implementation of statistical models. Parsa co-founded an online technology platform allowing the open source online generation of content by users which was sold in 2013. Parsa contributes to Downing Enterprise with his strong links to the entrepreneurial community in Cambridge including as a former president of the Cambridge Data Society, connection to the Judge Business School via the Accelerate programme, and previous role as Information Officer of the Cambridge Technology and Enterprise Society.

Angelina is a current PhD student in Computer Science at Princeton University. She is interested in machine learning fairness and algorithmic bias. More broadly, she is also interested in how technology impacts society. She has interned at Google twice. She was a Regents and Chancellors' Scholar at U.C. Berkeley, where she also served as an Academic Officer at Machine Learning @ Berkeley and a course assistant for the Introduction to Machine Learning course.

Lasya Sreepada is a Bioengineering PhD Candidate at the University of Pennsylvania working with Dr. Corey McMillan and Dr. David Wolk in the Bioinformatics in Neurodegenerative Disease Lab as part of the Penn Alzheimer's Disease Research Center. Lasya is passionate about interdisciplinary collaborations weaving neuroscience, data science, and pharmaceuticals to design and deliver innovative therapeutic solutions that make a difference in global healthcare. For her PhD, Lasya studies atypicality in Alzheimer's disease by applying bioinformatics and AI approaches to analyze neuroimaging and multiomics data to better understand heterogeneous disease mechanisms. As an undergraduate, Lasya worked with Dr. Alexander Lin at the Center for Clinical Spectroscopy, Harvard Medical School, to identify molecular biomarkers of neurotrauma. Lasya received her B.S. in Neuroscience from Yale University in 2019 and will receive her M.S. in Data Science from Penn, en route to the PhD, in 2023.

Pramit is a PhD candidate in the Department of Engineering Science at the University of Oxford and part of its Biomedical Image Analysis (BioMedIA) cluster. His research interests primarily lie in the areas of machine learning, deep learning, computer vision, medical image analysis, brain computer interfaces, and human speech motor control. More specifically, Pramit’s work focuses on developing federated learning algorithms for facilitating multi-institutional collaborations in healthcare. He also works on solving challenges related to class imbalance, non-IID data distribution, self-supervised and semi-supervised learning. In 2020, Pramit was awarded the prestigious Young Scientist Award by MICCAI Society for his contributions towards developing machine learning models for artificial speech synthesis from tongue movements. Prior to this, Pramit graduated from the University of British Columbia, Vancouver, Canada, with an MASc degree in Electrical and Computer Engineering in February 2021.

Snow Naing is a fourth year PhD candidate in Bioinformatics at UCSF. Her research focuses on protein-protein interactions in autism spectrum disorder. Before pursuing her PhD, she earned her undergraduate degree in Biochemistry and Physics at Simmons University in Boston, Massachusetts.

Joe has a PhD in Biomedical Engineering from the University of Minnesota, Twin-Cities, focusing on neuromodulation and neural interfaces research. He also has a B.S. in Bioengineering from UC Berkeley and a M.S. in Computer Science (Data Science Track) from the University of Illinois, Urbana-Champaign. Currently, Joe is a senior principal data scientist at UnitedHealth Group. He has previously worked as an AI scientist at Target, data scientist at General Mills, and research scientist Medtronic and Starkey Hearing Technologies. Joe's expertise includes machine learning, signal processing, statistical analysis, computational modeling, and neuromodulation.

Andreas is a Postdoctoral Research Fellow affiliated with the Computer Lab of the University of Cambridge. His interests lie in the intersection of Machine Learning and its applications to healthcare and scheduling within large scale systems – with a particular interest in the broad federated learning domain. The outcome of his research led to multiple publications in high-impact venues and journals such NeurIPS, KDD, ICASSP, TNSE, TPAMI, NPJ, and others. He is also a founding member of the COVID-19 Sounds initiative, which is a pioneering project aimed at diagnosing COVID-19 through the use of voice, breathing, and coughing sounds. Further, during these activities he was the supervisor of several students undertaking their undergraduate or master thesis in the aforementioned topics, all of which successfully defended.

Dr. Nina H is a bioengineer and mathematician who loves studying cancer biology, synthetic immunology, and evolutionary games. Currently, she runs the Research & Development division of ImmuneBridge, a biotechnology startup that manufactures cancer immunotherapies from stem cells found in umbilical cord blood. She earned her Bachelor's in Mathematics and Biology with Honors from Williams College and her Master's and PhD in Bioengineering from Stanford University. She has worked at the Icahn Institute for Genomics and Multiscale Biology at Mount Sinai, the Orthopaedic Research Laboratory at Boston University, in developmental biology and evolutionary biology laboratories at Williams College, and in several immunotherapy laboratories at Stanford. Her doctoral research focused on engineering natural killer cells to infiltrate and destroy solid tumors. Her life goal is to cure cancer and have as much fun skiing, fishing, and mountain biking as she can along the way!

Matt Hinojosa is a Ph.D. candidate in the Department of History at Princeton University specializing in US nineteenth and twentieth-century history, history of race & ethnicity, and global urban history, with an emphasis on twentieth-century US Chicano and Latino social movements. Matt is a proud first-generation college student and community college alumnus. He received his dual BAs in Anthropology and Mexican American Studies and an MA in History from the University of Texas at San Antonio, along with an MA in History from Princeton University. His current research focuses on post-WWII community-police relations in US Latino communities and argues that police violence was a central animating factor in the long Latino Civil Rights Movement. His dissertation examines the struggle against police brutality by urban and rural Latino communities, engaging with both civil rights-oriented and radical political responses by communities toward police violence. Matt’s research has been supported by fellowships from the Mellon Humanities Pathways Program, the Mellon Just Futures -- Democratizing Racial Justice Project, the McNair Scholars Program, the National Council of La Raza, the Nau Scholars Program, and Princeton's Presidential Fellowship. In his free time, Matt is an avid music-lover who loves collecting classic vinyl, DJing, camping, and kayaking.

Gabrielle Corona is a Ph.D. candidate and presidential fellow in the Department of History at Princeton University. Gabrielle is a historian with extensive research, writing and mentoring experience. Prior to joining Princeton University, she served as a researcher at the Martin Luther King, Jr. Papers Project, housed at Stanford University. Gabrielle’s historical research is enriched by her experiences working in immigration law, and conducting legal research on the use of lethal force by police. At Princeton, she focuses on twentieth century social movements, incarceration, and gender in the United States. She has held fellowships and received awards from the Mellon Foundation, Nomadic Press, the Organization of American Historians, and more. Gabrielle can teach and mentor students across arts & humanities, especially in history, public health & medicine, African American/ethnic studies, and gender and sexuality studies, broadly conceived. She also holds a B. A. in history from the University of California, Berkeley.