Department Directory

Aditya Vashistha is an assistant professor in information science at Cornell Bowers, where he advises students in information science and computer science. He leads the Cornell Global AI Initiative – an interdisciplinary, university-wide effort to integrate global perspectives into the design, development, evaluation, and governance of AI technologies.

Angelina Wang is an assistant professor of information science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Her research is in the area of responsible AI.

Fei Wang is an associate professor at Department of Population Health Sciences, Weill Cornell Medicine, Cornell University. His major researchinterest is data mining, machine learning and their applications in health data science. He has published on the top venues of related areas such as ICML, KDD, NeurIPS, AAAI, JAMA Internal Medicine, Annals of Internal Medicine, etc. His team won the championship of the NIPS/Kaggle Challenge on Classification of Clinically Actionable Genetic Mutations in 2017 and Parkinson’s Progression Markers Initiative data challenge organized by Michael J. Fox Foundation in 2016. Dr. Wang is the recipient of the NSF CAREER Award in 2018, the inaugural research leadership award in IEEE International Conference on Health Informatics (ICHI) 2019, Amazon Machine Learning for Research Award in 2017 and 2019, Google Faculty Research Award in 2020, Sanofi iDEA Award in 2021. Dr. Wang was the chair of the Knowledge Discovery and Data Miningworking group in American Medical Informatics Association (AMIA) in 2018-2019. Dr. Wang’s research has been supported by funding agencies including NSF, NIH, ONR, PCORI and MJFF. Dr. Wang is a Fellow of the American Medical Informatics Association (AMIA), a Fellow of the International Academy of Health Sciences and Informatics (IAHSI), and a Distinguished Member of the Association for Computing Machinery (ACM).
 

Hakim Weatherspoon is a professor in the Department of Computer Science. His research interests cover various aspects of information systems, distributed systems, network systems, and peer-to-peer systems. In these areas, he particularly focuses on fault-tolerance, reliability, security, and performance of internet-scale systems with decentralized – autonomous, federated, multi-organizational, and cooperative – control. 

Kilian Weinberger is a professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in machine learning under the supervision of Lawrence Saul, and his undergraduate degree in mathematics and computing from the University of Oxford. In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. He is the recipient of the Daniel M. Lazar '29 Excellence in Teaching Award (2016) and the Ann S. Bowers Teaching and Advising Excellence Award (2024). As of 2024, he is an ACM and AAAI fellow and in 2021 became a Blavatnik National Awards Finalist. Since 2024 he has been a member of the Sloan Research Fellowships Selection Committee. Weinberger's research focuses on machine learning and its applications. In particular, he has worked on learning under resource constraints, metric learning, AI in science, computer vision, autonomous vehicles, Gaussian processes, and deep learning. Before joining Cornell University, he was an associate professor at Washington University in St. Louis, and before that, he worked as a research scientist at Yahoo! Research in Santa Clara. 

Walker White is a senior lecturer of computer science and a Stephen H. Weiss Provost's Teaching Fellow. A mathematical logician by training, White studied computable model theory for his thesis work, and then moved onto the design of high-level languages for databases and information systems. More recently, White has combined his professional research in databases and query languages with his hobbies in gaming and game design. He is the director of the Game Design Initiative at Cornell, which he helped launch in 2001 as one of the first official computer game programs of its kind and the first such program established at an Ivy League university. In his role as director, he leads Cornell’s undergraduate minor in game design. He received a Ph.D. in mathematics and a master’s in computer science from Cornell, and a bachelor’s in mathematics from Dartmouth.

David Williamson was born in Madison, Wisconsin, but grew up in the suburbs of Honolulu, Hawaii. He received his Ph.D. in 1993 from the Massachusetts Institute of Technology.  In 1995 he joined IBM Research, and from 2000-2003 was the Senior Manager of the Computer Science Principles and Methodologies Department at IBM's Almaden Research Center.  In 2004, he joined Cornell University as a professor in the School of Operations Research and Information Engineering, and the Faculty of Computing and Information Science.

Dr. Williamson is well-known for his work on the topic of approximation algorithms, and is a coauthor of the book "The Design of Approximation Algorithms", published by Cambridge University Press. His Ph.D. dissertation on designing low-cost survivable networks was awarded several prizes, including the 1996 SIAM DiPrima Prize and the 1994 Tucker Prize from the Mathematical Programming Society. His work with Michel Goemans on the uses of semidefinite programming in approximation algorithms was awarded the 1999 SIAM Activity Group on Optimization prize, and the 2000 Fulkerson Prize from the Mathematical Programming Society and the American Mathematical Society. He is the editor-in-chief for the SIAM Journal on Discrete Mathematics, and has served as an associate editor on several other journals, including Mathematics of Operations Research and the SIAM Journal on Computing.
 

Qian Yang is an assistant professor of information science. She is a human-AI interaction designer and researcher. With her students, Yang designs novel AI applications and services that demonstrate new ways of bridging together frontier AI technologies, user needs, and societal betterment goals. For this work, she has received many academic and industry awards, including Schmidt Futures' Inaugural AI2050 Fellowship. She co-directs the Cornell Digital and AI Literacy Initiative with Natalie Bazarova. Yang is also a senior fellow at the Cornell Brooks School Tech Policy Institute.

Christina Lee Yu is an Assistant Professor at Cornell University in the School of Operations Research and Information Engineering. Prior to Cornell, she was a postdoc at Microsoft Research New England. She received her PhD in 2017 and MS in 2013 in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in the Laboratory for Information and Decision Systems ↗. She received her BS in Computer Science from California Institute of Technology in 2011. She received honorable mention for the 2018 INFORMS Dantzig Dissertation Award. She is a recipient of the 2021 Intel Rising Stars Award and a JPMorgan Faculty Research Award. Her work is supported by grants from the National Science Foundation and the Air Force Office of Scientific Research. Her research interests include algorithm design and analysis, high dimensional statistics, inference over networks, sequential decision making under uncertainty, online learning, and network causal inference.

Ramin Zabih is a Professor at Cornell Tech and in the Computer Science Department at Cornell University. He received his undergraduate degrees from MIT in Computer Science and Math, and his Ph.D. from Stanford in Computer Science.

Cheng Zhang is an associate professor of information science. His research examines how to solicit information on and around the human body to address real-world challenges in various application areas, such as interaction, health sensing, and activity recognition. He usually builds novel sensing systems from the bottom to the top, including understanding the physical phenomenon, building hardware prototypes, designing form factors, processing data, and designing algorithms (machine learning or physics-based modeling).