Johanna Beyer is a research associate and lecturer at the Visual Computing Lab at Harvard University. Before joining Harvard, she was a postdoctoral fellow at the Geometric Modeling and Scientific Visualization Center at KAUST. She received her Ph.D. in computer science at the University of Technology Vienna, Austria, in 2010.
Her research interests include scalable methods for visual abstractions, large-scale volume visualization, immersive analytics, and the combination of abstract information visualization with scientific visualization for novel domain-specific applications.
R. MARTIN CHAVEZ
Computer Scientist, Entrepreneur and Investor
Marty Chavez, PhD is widely renowned as a trailblazer and leader who turned the Wall Street trading business into a software business, revolutionizing the way that capital moves and works. He is a partner and vice chairman of Sixth Street Partners and holds an A.B. (1985) magna cum laude in Biochemical Sciences and an S.M. (1985) in Computer Science from Harvard, and a Ph.D. (1990) in Medical Information Sciences from Stanford.
Cathy Chute is executive director of Harvard's Institute for Applied Computational Science and assistant dean for professional programs at Harvard’s School of Engineering and Applied Sciences. Cathy has an MBA from the Yale School of Management, and an AB degree in comparative literature from Princeton University. She currently serves on the Open Data Review Board for the City of Cambridge, and is a member of the advisory board of the Harvard Data Science Review.
Francesca Dominici is Clarence James Gamble Professor of Biostatistics, Population and Data Science at the Harvard T.H. Chan School of Public Health and co-Director of the Harvard Data Science Initiative. Her research focuses on the development of statistical methods for the analysis of large and complex data to address important questions in environmental health science, climate change, comparative effectiveness research in cancer, and health policy. She has degrees from University La Sapienza and University of Padua.
Alyssa Goodman is Robert Wheeler Willson Professor of Applied Astronomy; Co-Director for Science at the Radcliffe Institute for Advanced Study; and Research Associate of the Smithsonian Institution. She received her PhD from Harvard University. Goodman's work spans astrophysics, science education, data science, data visualization, and prediction.
Priti Hegde, Ph.D., joined Foundation Medicine as the Chief Scientific Officer in August 2019. Dr. Hegde oversees clinical product development, cancer genomics, and early-stage research, as well as regulatory to accelerate advancement of the Company’s leading comprehensive genomic profiling portfolio. She is passionate about innovation in cancer research and translating innovations to precision medicine tools to advance care for patients.
Zak Kohane is Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School; Chair of the Department of Biomedical Informatics, Harvard Medical School; and Associate Professor of Medicine, Brigham and Women's Hospital. He received his MD, PhD from Boston University School of Medicine. He develops and applies computational techniques to address disease at multiple scales.
Harvard Medical School
Mark Namchuk PhD is a professor of the practice of biological chemistry and molecular pharmacology and the executive director of therapeutics translation at Harvard Medical School. In this later role, Namchuk works with HMS scientists to identify and harness basic insights and move them towards clinical therapies, while training the next generation of therapeutics investigators.
Rachel Nethery Assistant Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.. She received her Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill. Her research interests include causal inference, machine learning, Bayesian methods, latent variable models, spatial statistics, and time series analysis.
David Parkes is the George F. Colony Professor of Computer Science in the Paulson School of Engineering and Applied Sciences and co-Director of the Harvard Data Science Initiative. Parkes has degrees from the University of Oxford and the University of Pennsylvania. His primary research interests include the design of incentive-aligned, multi-agent systems, and in his recent work he has pioneered the use of machine learning for the automated design of revenue optimal auctions that have defied theoretical analysis. .
Hanspeter Pfister is the Academic Dean of Computational Sciences and Engineering and An Wang Professor of Computer Science in the School of Engineering and Applied Sciences. He is an affiliate faculty member of the Harvard Center for Brain Science and served as director of the Institute for Applied Computational Science 2013-17. His research in visual computing lies at the intersection of visualization, computer graphics, and computer vision. It spans a wide range of topics, including visualization, biomedical image analysis, 3D fabrication, and data science. Pfister has a Ph.D. in Computer Science from Stony Brook University, New York, and an M.Sc. in Electrical Engineering from ETH Zurich, Switzerland. Before joining Harvard, he worked for over a decade at Mitsubishi Electric Research Laboratories, where he was Associate Director and Senior Research Scientist.
John Quackenbush is Professor of Computational Biology and Bioinformatics and Chair of the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, Professor in the Channing Division of Network Medicine, and Professor at the Dana-Farber Cancer Institute. He received his PhD in Theoretical Physics. John uses massive data to probe how many small effects combine to influence human health and disease.
SIR DAVID SPIEGELHALTER
University of Cambridge
Professor Sir David Spiegelhalter FRS OBE is Chair of the Winton Centre for Risk and Evidence Communication in the Centre for Mathematical Sciences at the University of Cambridge, which aims to improve the way that statistical evidence is used by health professionals, patients, lawyers and judges, media and policy-makers. He has been very busy over the COVID crisis. He presented the BBC4 documentaries “Tails you Win: the Science of Chance”, the award-winning “Climate Change by Numbers”, and in 2011 came 7th in an episode of BBC1’s Winter Wipeout. His bestselling book, The Art of Statistics, was published in March 2019, and Covid by Numbers came out in September 2021.
MEGAN T. STEVENSON
University of Virginia
Megan Stevenson is Associate Professor of Law at the University of Virginia where she conducts empirical research in various areas of criminal justice reform, including bail, algorithmic risk assessment, misdemeanors and juvenile justice. She holds a Ph.D. in agricultural and resource economics from the University of California, Berkeley.
Johns Hopkins University
Elizabeth Stuart, Ph.D. is Bloomberg Professor of American Health in the Departments of Mental Health, Biostatistics, and Health Policy and Management as well as Vice Dean for Education at the Johns Hopkins Bloomberg School of Public Health. She received her Ph.D. in statistics in 2004 from Harvard University. Her primary research interests include the trade-offs in different study designs for estimating causal effects, and the use of causal inference methods in public health, mental health, and education.
Department of Health and Human Services
Dr. Tenenbaum serves as the Chief Data Officer (CDO) for DHHS, where she oversees data strategy across the Department enabling the use information to inform and evaluate policy and improve the health and well-being of residents of North Carolina. Prior to taking on the role of CDO, Dr. Tenenbaum was a founding faculty member of the Division of Translational Biomedical Informatics within Duke University's Department of Biostatistics and Bioinformatics where her research focused on informatics methods to enable precision medicine, particularly in mental health. She is also interested in ethical, legal, and social issues around big data and precision medicine. Nationally, Dr. Tenenbaum has served as Associate Editor for the Journal of Biomedical Informatics and as an elected member of the Board of Directors for the American Medical Informatics Association (AMIA). She currently serves on the Board of Scientific Counselors for the National Library of Medicine.
Professor Kate Crawford is a leading international scholar of the social and political implications of artificial intelligence. Her work focuses on understanding large-scale data systems in the wider contexts of history, politics, labor, and the environment. She is a Research Professor of Communication and STS at USC Annenberg, a Senior Principal Researcher at Microsoft Research New York, and an Honorary Professor at the University of Sydney. She is the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris, where she co-leads the international working group on the Foundations of Machine Learning. Over her twenty year research career, she has also produced groundbreaking creative collaborations and visual investigations.
Harvard Business School
Professor Gino is an award-winning researcher who focuses on why people make the decisions they do at work, and how leaders and employees have more productive, creative and fulfilling lives. She is the Tandon Family Professor of Business Administration in the Negotiation, Organizations & Markets Unit at Harvard Business School and the author, most recently, of “Rebel Talent: Why it Pays to Break the Rules in Work and Life.” Gino is also affiliated with the Program on Negotiation at Harvard Law School, the Mind, Brain, Behavior Initiative at Harvard, and the Behavioral Insight Group at Harvard Kennedy School.
As Chief Executive Officer, Kumsal Bayazit is a strong advocate of research and innovation and leads Elsevier’s 8,600 people in their mission to help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Kumsal has an extensive background in technology, analytics, and risk management; leading large international teams to understand the diverse needs of customers to deliver innovative solutions that support them in driving better outcomes. Under her leadership, Elsevier is applying artificial intelligence technologies such as machine learning and natural language processing to extensive, high-quality content and datasets to deliver those solutions.
Harvard Business School
Chiara Farronato is an assistant professor of business administration in the Technology and Operations Management (TOM) Unit and teaches Data Science for Managers to MBAs. Chiara draws from the fields of industrial organization and market design to study platform growth and its related challenges. Chiara is an affiliate at the National Bureau of Economic Research (NBER) and the Center for Economic and Policy Research (CEPR), and an associate editor at the Harvard Data Science Review.