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.

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.

Phoebe Sengers is a professor in the Departments of Information Science and Science & Technology Studies (STS), a graduate field member in computer science, associate faculty with the Department of Art, and a member of the Cornell Initiative for Digital Agriculture. Her primary research fields are human-computer interaction and science & technology studies. Her work integrates ethnographic and historical analysis of the social implications of technology with design methods to suggest alternative future possibilities. At Cornell, she leads the Culturally Embedded Computing research group, which explores rural, working-class and global South experiences of technologies, traces the emerging entanglements between people and data, and uses design to speculate about alternative pasts and futures.

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.