Department Directory

Michael Kim is an assistant professor of computer science. His research investigates foundational questions about responsible machine learning. Much of this work aims to identify problematic behaviors that emerge in machine-learned models and to develop algorithmic tools that provably mitigate such behaviors. More broadly, he is interested in how the theory of computation can provide insight into emerging societal and scientific challenges.

Jon Kleinberg is a professor in both computer science and information science. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other online media. His work has been supported by an NSF Career Award, an ONR Young Investigator Award, a MacArthur Foundation Fellowship, a Packard Foundation Fellowship, a Sloan Foundation Fellowship, and grants from Google, Yahoo!, and the NSF. He is a member of the National Academy of Sciences, the National Academy of Engineering, the American Academy of Arts and Sciences, and the American Philosophical Society.

Robert Kleinberg is an associate professor of computer science at Cornell University and a member of the field of information science. His research studies the design and analysis of algorithms and their applications to electronic commerce, networking, information retrieval, and other areas. Prior to receiving his doctorate from the Massachusetts Institute of Technology in 2005, Kleinberg spent three years at Akamai Technologies, where he assisted in designing the world's largest Internet Content Delivery Network. He is the recipient of a Microsoft Research New Faculty Fellowship, an Alfred P. Sloan Foundation Fellowship, and an NSF CAREER Award.
 
 

Allison Koenecke is an assistant professor of information science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Her research on algorithmic fairness applies computational methods, such as machine learning and causal inference, to study societal inequities in domains from online services to public health.

Dexter Kozen is the Joseph Newton Pew, Jr. Professor of Engineering Emeritus in the Department of Computer Science. His research interests span topics on the boundary of computer science and mathematics: design and analysis of algorithms, computational complexity theory, complexity of decision problems in logic and algebra, and logics and semantics of programming languages. He is the author of more than 200 research articles and four books. Kozen is a former Guggenheim fellow and a fellow of the Association of Computing Machinery, the American Association for the Advancement of Science, and the European Association of Theoretical Computer Science. He is a recipient of the John G. Kemeny Prize in Computing, an IBM Outstanding Innovation Award, the EATCS Award, the IEEE W. Wallace McDowell Award, and the ACM Alonzo Church Award.

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.

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.

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?” Marschner received his Ph.D. from Cornell University in 1998, and held research positions at HP Laboratories, Microsoft Research, and Stanford University before he rejoined Cornell in 2002. He is also a part-time research scientist at NVIDIA Research. He is an ACM Fellow and member of the SIGGRAPH Academy, and has received a Sloan Research Fellow, an NSF CAREER Award, and an Academy of Motion Picture Arts and Sciences Technical Achievement Award.

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 associate department chair of statistics and data science, 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.

David Mimno is a professor and chair of the Department of Information Science. He holds a Ph.D. from UMass Amherst and was previously the head programmer at the Perseus Project at Tufts and a researcher at Princeton University. His work has been supported by the Sloan foundation, the National Endowment for the Humanities, and the National Science Foundation.

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.

Curran Muhlberger is a lecturer of computer science. Since joining the Cornell faculty in 2019, he has led or co-led courses like Object-Oriented Programming and Data Structures (CS 2110) and Software Engineering (CS 5150), and has advised on student projects in several other courses. Among his awards and honors, he received the Excellence in Teaching Award from Cornell Bowers in 2022. Prior to joining Cornell, Muhlberger was an engineer with Space Exploration Technologies for several years. He received a Ph.D. in physics from Cornell in 2014, and bachelor’s degrees in physics, mathematics, and astronomy from the University of Maryland, College Park in 2008. 

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.