Department Directory

Kevin Ellis is an assistant professor of computer science. He works on program synthesis and neurosymbolic AI. Ellis earned his Ph.D. in cognitive science and his B.S. in physics with a concentration in linguistics from the Massachusetts Institute of Technology.

Deborah Estrin is the Robert V. Tishman ’37 professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. At Cornell Tech, she serves as the Associate Dean for Impact. She is also an affiliate faculty member at Weill Cornell Medicine.

Daisy Fan is a teaching professor of computer science who teaches in the areas of programming, scientific computing, and optimization. Fan's interests include collaborative learning methodologies and technologies in computer science and engineering education, application of systems-analysis techniques for water resources and environmental problems, and development of numerically efficient optimization methods for engineering applications. Problems she has investigated include optimal control of multiple-reservoir operation using stochastic dynamic programming and river basin water quality management.

Kuan Fang is an assistant professor of computer science who conducts research at the intersection of robotics, machine learning, and computer vision. His research aims to enable robots to perform diverse and complex tasks in unstructured environments using deep learning. To achieve this, his lab develops scalable algorithms and systems for robot perception and control with the following focuses: acquiring versatile and generalizable skills for visuomotor control by learning from massive and diverse data; continuously improving the capabilities of robots through autonomous data collection and generation; and boosting generalization to novel tasks, environments, and robots by integrating prior knowledge from broad sources. Fang did his postdoctoral research at the University of California, Berkeley and received his Ph.D. and M.S. from Stanford University. His bachelor's degree is from Tsinghua University. Fang also spent time at the RAI Institute, Google Brain, Google X Robotics, and Microsoft Research Asia. 

Nate Foster is a professor of computer science at Cornell University and a visiting researcher at Jane Street. He currently serves as vice chair of DARPA's Information Science and Technology (ISAT) study group, and as chair of the P4 Language Governing Board.  

Sainyam Galhotra is an assistant professor in computer science. Before that, he was a Computing Innovation Fellow pursuing postdoctoral research at the University of Chicago. The goal of his research is to develop data science tools for effective and responsible analytics.

Carla Gomes is the Ronald C. and Antonia V. Nielsen Professor of Computing and Information Science, director of the Institute for Computational Sustainability at Cornell University, and co-director of the Cornell University AI for Science Institute. Gomes received a Ph.D. in computer science in artificial intelligence from the University of Edinburgh. Her research area is AI with a focus on large-scale constraint reasoning, optimization, and machine learning. 

Tanya Goyal is an assistant professor in the Department of Computer Science. Previously, she was a postdoctoral scholar at Princeton Language and Intelligence Center (2023-2024). Her research interests are primarily in the field of natural language processing. Problems that she is currently excited about include: reliable and sustainable evaluation frameworks for large language models (LLMs); factuality assessment and improvement of LLMs; and understanding LLM behaviors as a function of training data and/or alignment strategies.

Giulia Guidi is an assistant professor in the Department of Computer Science at Cornell University. She received her Ph.D. in computer science from UC Berkeley. Guidi works in the field of high-performance computing (HPC) for large-scale computational sciences and leads the Cornell HPC group. She is interested in developing algorithms and software infrastructures on parallel machines to speed up data processing without sacrificing programming productivity, and to make high-performance computing more accessible. She is also a big fan of sparse linear algebra and believed in sparse linear algebra as a computational abstraction for tackling large-scale computational challenges.

Joe Halpern is a professor of computer science. His research focuses on the interface between game and decision theory and computer science, on reasoning about knowledge and uncertainty, and on causality. He has also done work on and continues to think actively about security, (fault tolerant) distributed computing, and modal logic. His work lies at the boundary of a number of fields. He said, "I once gave a talk in the economics department at Princeton where I described myself as someone with a Ph.D. in mathematics, who calls himself a computer scientist, and is giving a talk to economists about a subject mainly studied by philosophers. That's probably the best one-sentence description I can give." 
 

Bharath Hariharan is an associate professor in computer science. He works on computer vision and machine learning, specifically, on important problems that defy the "Big Data" label. He enjoys problems that require marrying advances in machine learning with insights from computer vision, geometry, and domain-specific knowledge. A few of the research problems his group works on include recognition for satellite images and earth science and 4D reconstruction and recognition. An exhaustive list of publications is available on Google scholar. His work has been recognized with an NSF CAREER award and a PAMI Young Researcher Award. 

Haym Hirsh is a professor in the Department of Computer Science at Cornell University. His research has focused on foundations and applications of machine learning, data mining, information retrieval, and artificial intelligence, especially targeting questions that integrally involve both people and computing. Most recently these interests have turned to crowdsourcing, human computation, and collective intelligence. Haym received his B.S. from the Mathematics and Computer Science Departments at the University of California, Los Angeles, and his M.S. and Ph.D. from the Computer Science Department at Stanford University. Prior to moving to Cornell in 2013 to serve as dean of the Faculty of Computing and Information Science, Hirsh spent 24 years on the computer science faculty at Rutgers University, and has had visiting positions at AT&T Labs, Bar-Ilan University, Carnegie Mellon University, MIT, and the University of Zurich. From 2006-2010 he served as director of the Division of Information and Intelligent Systems at the National Science Foundation. In 2022 he was elected a Fellow of the American Association for the Advancement of Science. 
 

Justin Hsu is an associate professor of computer science. Previously, he was an assistant professor in the Department of Computer Sciences at the University of Wisconsin–Madison, and a postdoc in the Department of Computer Science at Cornell University and in the Programming Principles, Logic, and Verification Group at the University College London. He obtained his Ph.D. from the Department of Computer Science at the University of Pennsylvania. 

Thorsten Joachims is the Jacob Gould Schurman Professor of computer science and information science at Cornell University. He has also served as the interim dean for Cornell Bowers and as associate dean for research and as chair of the Department of Information Science. He is the director of the Cornell AI Initiative and Radical Collaboration. He has served as program chair of the ICML, KDD, and RecSys conferences, and he is a member of the IMLS Board and the SIGKDD Executive Committee. Thorsten Joachims joined Cornell in 2001 after finishing his Ph. D. as a student of Prof. Morik at the University of Dortmund, from where he also received a Diplom in computer science in 1997. 

Ari Juels is the Weill Family Foundation and Joan and Sanford I. Weill Professor of computer science at Cornell Tech, the Cornell Ann S. Bowers College of Computing and Information Science, and the Jacobs Technion-Cornell Institute. He is co-director of the Initiative for CryptoCurrencies and Contracts (IC3). He is also the chief scientist at Chainlink Labs.

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.
 
 

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.