Directory

Hadas Kress-Gazit is the Geoffrey S.M. Hedrick Sr. Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University, and the Associate Dean for Diversity and Academic Affairs of Cornell’s College of Engineering. She received her Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2008 and has been at Cornell since 2009. Her research focuses on formal methods for robotics and automation and more specifically on synthesis for robotics – automatically creating verifiable robot controllers for complex high-level tasks.

Amy Kuceyeski is an adjunct associate professor in the Department of Statistics and Data Science and an associate professor of mathematics in the Radiology Department and Brain and Mind Research Institute at Weill Cornell Medicine. She performs research in quantitative neuroimaging of neurological disorders, including multiple sclerosis, stroke, traumatic brain injury and disorders of consciousness.
 
 

Volodymyr Kuleshov is the Joan Eliasoph, M.D. Assistant Professor of Computer Science at Cornell Tech, the Jacobs Technion-Cornell Institute, and the Cornell Ann S. Bowers College of Computing and Information Science. He obtained his Ph.D. in computer science from Stanford University, where he received the Arthur Samuel Best Thesis Award.

Daniel D. Lee is the Tisch University Professor in Electrical and Computer Engineering at Cornell Tech and Cornell Engineering. He recently served as global head of AI for Samsung Research. Lee received his B.A. summa cum laude in physics from Harvard University and his Ph.D. in condensed matter physics from the Massachusetts Institute of Technology. He was previously a researcher at Bell Labs in the theoretical physics and biological computation departments.

Owolabi Legunsen is an assistant professor of computer science. He is part of the Software Engineering Group and is broadly interested in research on software engineering, with a focus on software testing and runtime verification. Legunsen completed his Ph.D. in computer science at the University of Illinois at Urbana-Champaign, his master's degree in computer science at the University of Texas at Dallas, and his B.Sc. in computer engineering at Obafemi Awolowo University, Nigeria. He has received three ACM SIGSOFT distinguished paper awards (ASE 2016, ISSTA 2023, ISSTA 2024), an NSF CAREER Award, an Intel Rising Star Faculty Award, and a Microsoft Faculty Research Fellowship Finalist designation.

Sorin Lerner is the dean of the Cornell Ann S. Bowers College of Computing and Information Science, appointed Nov. 1, 2025. A professor of computer science, his research focuses on providing programmers with tools to make software more secure and reliable. 

Gilly Leshed is a Full Teaching Professor and the director of the MPS program in the Department of Information Science. Her teaching and research interests are in human-computer Interaction (HCI) and computer-supported cooperative work (CSCW), in which she uses quantitative and qualitative methods and technology design to examine how individuals and groups accomplish tasks and socialize, and the roles that information technology play in these interactions. She supervises the Cornell Digital Tech & Innovation Project Team and is a faculty house fellow at the William Keeton House.

Karen Levy is an associate professor of information science, an associate member of the faculty at Cornell Law School, and field faculty in sociology, science and technology studies, media studies, and data science.

Tom Loredo's research combines statistical data analysis with astrophysical theory to rigorously test astronomical models and theories, particularly in the areas of high energy astrophysics (supernovae, gamma-ray bursts, black holes, neutron stars) and cosmology. His work focuses on problems that can benefit from development of new statistical methodology, and largely adopts the Bayesian approach to statistics, an approach first developed by the French physicist Laplace but largely abandoned until recently. He also uses the conventional "frequentist" approach, and is particularly interested in problems where these two statistical approaches produce different results. Recently Tom's work has also addressed statistical issues arising in the study of extrasolar planets and analysis of the distribution of trans-Neptunian objects (including Kuiper belt objects).

Wei-Chiu Ma is an assistant professor of computer science at Cornell University. His research lies at the intersection of 3D/4D computer vision and robotics. He is interested in building AI systems that can understand, reconstruct, and re-simulate our dynamic world, and leveraging these capabilities to enable more robust autonomous systems or advanced entertainment applications.

Michael Macy received his B.A. and Ph.D at Harvard, along with an M.A. from Stanford. He is currently Goldwin Smith Professor of Arts and Sciences in Sociology and Director of the Social Dynamics Laboratory at Cornell, where he has worked since 1997.

With major support from the National Science Foundation, his research team has used computational models, online laboratory experiments, and digital traces of device-mediated interaction to explore familiar but enigmatic social patterns, such as circadian rhythms, the emergence and collapse of fads, the spread of self-destructive behaviors, cooperation in social dilemmas, the critical mass in collective action, the spread of high-threshold contagions on small-world networks, the polarization of opinion, segregation of neighborhoods, and assimilation of minority cultures. His team has used data from Twitter and Spotify to track diurnal and seasonal mood changes across the globe, national telephone logs to measure the economic correlates of network structure, and both social media and phone logs to reveal  "social wormholes" that create high-bandwidth connections across vast network distances.

Recent research has focused on political polarization, including a study on why liberals drink lattes and how polarization extends even to the consumption of books on popular science. His team’s research has been published in leading journals, including Science, PNAS, Nature Human Behaviour, Science Advances, American Journal of Sociology, American Sociological Review, and Annual Review of Sociology.
 

Emaad Manzoor is an assistant professor of marketing at Cornell SC Johnson College of Business where he leads the Data Analytics Group. His research spans knowledge graph mining, causal inference with text, and the design of randomized and quasi-experiments toward understanding persuasion in technology-mediated communication.

Drew Margolin is an associate professor within the Cornell Department of Communication. The internet, and social media in particular, have made individual and institutional discourse visible like never before. Yet the mechanisms that shape the production of discourse on what leads individuals or institutions to speak up, whom do they address, what do they say that is not yet well understood. Margolin's research focuses on understanding these dynamics through the quantitative aggregation of collective communication behavior. In particular, his approach emphasizes the role that accountability, credibility, and legitimacy within social networks and communities play in shaping observable discourse.
 

Steve Marschner is a professor of computer science, and currently serves as the associate dean for research in the Ann S. Bowers College of Computing and Information science. His research and teaching are in computer graphics and vision, centered around how optics and mechanics determine the appearance of materials, with interests in realistic rendering, material models (optical and mechanical), appearance capture, simulation, and computational photography. Some questions that run through his work are “How can we get objects to appear to be made from exactly the right kind of material?” and “How can we cleverly use cameras to help us measure the information we need to make great images?” 

Nathan is founder of the Citizens and Technology Lab (formerly CivilServant), a public-interest research group at Cornell that organizes citizen behavioral science and behavioral consumer protection research for digital life. CAT Lab has worked with communities of tens of millions of people on reddit, Wikipedia, and Twitter to test ideas for preventing harassment, broadening gender diversity on social media, responding to human/algorithmic misinformation, managing political conflict, and auditing social technologies. Nathan is also pioneering industry-independent evaluations on the impact of tech platform policies in society.

David S. Matteson is a professor of statistics and data science at Cornell University and director of the National Institute of Statistical Sciences. He is also director of graduate studies in data science, and founding executive committee member for the Cornell Center for Data Science for Enterprise and Society. His research centers on statistical methods for modeling complex human and natural processes and systems, with expertise in dynamic, spatial, functional, and network data science and machine learning. He received a CAREER Award from the National Science Foundation, the Chancellor’s Award for Scholarship and Creative Activities from the State University of New York, the inaugural Ann S. Bowers Research Excellence Award, Faculty Research Awards from the Xerox/PARC Foundation and LinkedIn, and is a Fellow of the American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He has served as lead PI and director for several National Science Foundation-funded collaborative institutes, and he founded and serves as editor-in-chief for the new open access ASA journal Data Science in Science.