Department Directory

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. 

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.

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?” 

Kristina Monakhova is an assistant professor in the Department of Computer Science at Cornell. She works on co-designing optics and algorithms to create better, smaller, and more capable cameras and microscopes.

Greg Morrisett is the Jack and Rilla Neafsey Dean and Vice Provost of Cornell Tech, Cornell University’s state-of-the-art campus in New York City that develops leaders and technologies for the AI era through foundational and applied research, graduate education, and new ventures. As the second dean of Cornell Tech, he has led the campus since 2019 and is responsible for the academic quality and direction of its degree programs as well as for efforts to recruit faculty, researchers, and students from around the world. His efforts have built pathways to expand access to the field as well as to engage industry partners and early-stage investors, further accelerating Cornell Tech’s contribution to New York City’s innovation economy.

Andrew Myers is the Class of 1912 Professor of Engineering in the Department of Computer Science at Cornell University. He received his Ph.D. in electrical engineering and computer science from MIT in 1999, advised by Barbara Liskov.

Andrew Owens is an associate professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. His research aims to create multimodal systems that learn to see, hear, and touch without human-labeled training data. Instead, these systems learn from co-occurring sensory signals, such as the correlations between the visual and audio streams of a video. His work has enabled applications that include producing soundtracks for silent videos, robotic manipulation with vision and touch, detecting AI-generated images, and generating visual illusions.

Rafael Pass is a Professor at Cornell Tech and in the Computer Science Department at Cornell University. He obtained his bachelor’s in Engineering Physics and a master’s in Computer Science, both from the Royal Institute of Technology (KTH) in Sweden, and his Ph.D. in Computer Science from the Massachusetts Institute of Technology (M.I.T.) in 2006. He has been on the faculty of Cornell University since 2006 and joined Cornell Tech in 2013.

Thomas Ristenpart is a professor at Cornell Tech and a member of the computer science department at Cornell University. Before joining Cornell Tech in May 2015, he spent four and a half years as an assistant professor at the University of Wisconsin-Madison. He completed his Ph.D. at the University of California, San Diego, in 2010, and his M.S. at the University of California, Davis, in 2005.

Adrian Sampson is an associate professor in the Department of Computer Science at Cornell University. He works on programming languages, computer architecture, and the abstractions that separate them. He is especially excited about languages and compilers that make it easy for anyone to construct and exploit specialized hardware accelerators. In a different era, he worked on approximate computing, the idea that we should design computers that compute worse answers.

Fred B. Schneider is the Samuel B. Eckert Professor of Computer Science at Cornell University. He joined Cornell's faculty in Fall 1978 and served as department chair from 2014-2018. His Ph.D. (1978) is from Stony Brook University, having completed a B.S. in engineering at Cornell in 1975.

Bart Selman is a professor of computer science at Cornell University. Previously, he was at AT&T Bell Laboratories. His research interests include computational sustainability, efficient reasoning procedures, planning, knowledge representation, and connections between computer science and statistical physics. He has (co-)authored more than 100 publications, including six best paper awards. His papers have appeared in venues spanning Nature, Science, Proceedings of the National Academy of Sciences, and a variety of conferences and journals in AI and computer science. He has received the Cornell Stephen Miles Excellence in Teaching Award, the Cornell Outstanding Educator Award, an NSF Career Award, and an Alfred P. Sloan Research Fellowship. He is a Fellow of the American Association for Artificial Intelligence and a Fellow of the American Association for the Advancement of Science.

Vitaly Shmatikov is a professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Before Cornell, he worked at the University of Texas at Austin and SRI International. His research areas include digital privacy, computer security, and security and privacy issues in machine learning.

Alexandra Silva is a professor in the Department of Computer Science at Cornell University. Before joining the faculty at Cornell, she was a Royal Society Wolfson Fellow and Professor of Algebra, Semantics, and Computation at the Programming Principles, Logic and Verification Group, University College London.

Rachee Singh is an assistant professor of computer science at Cornell University where she leads the sysphotonics group. Her group develops systems and algorithms for efficient communication on server-scale, rack-scale, and long-haul photonic interconnects. We use these systems to improve the performance of important applications like distributed machine learning and general planet-scale cloud workloads.

Noah Snavely is a professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Snavely’s research interests are in computer vision and graphics, in particular, recovering structure from large photo collections for use in understanding and visualizing the world around us.

Nicholas Spooner is an assistant professor of computer science at Cornell University and a member of the Theory of Computing group. His work focuses on post-quantum proof systems. His interests include probabilistic proof systems and zero knowledge in general, post-quantum cryptography, quantum information, coding theory, and computational complexity. 

Karthik Sridharan is an associate professor in the Department of Computer Science at Cornell University. Prior to that, he was a postdoctoral research associate at the University of Pennsylvania, jointly with Alexander Rakhlin and Michael Kearns. He obtained his Ph.D. from Toyota Technological Institute at Chicago where his thesis advisor was Nathan Srebro. His primary area of research is theoretical machine learning, with interests in statistical learning theory, online learning, optimization, empirical process theory, concentration inequalities, and game theory.