Directory

Dana Yang is an assistant professor of statistics and data sciences. Prior to joining Cornell in 2022, she completed a Simons-Berkeley fellowship, where she participated in the Computational Complexity of Statistical Inference program at UC Berkeley. Prior to that, she had a stint as a postdoctoral associate at Duke University’s Fuqua School of Business. Yang obtained a B.S. in mathematics from Tsinghua University and earned an M.A. and a Ph.D. in statistics from Yale University.

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.

Xiaolong Yang is a teaching professor and director of the Master of Professional Studies (MPS) program in Data Science and Applied Statistics.

Yian Yin is an assistant professor of information science. His research applies and develops novel computational tools to understand how individual, social, and environmental processes independently and jointly promote (or inhibit) scientific progress and innovation achievements. As a computational social scientist, he has also used science and innovation as a powerful lens to examine broader processes and outcomes in a wide range of complex social processes, from artistic and cultural productions to public policy, from media attention to market competition to human conflict. His research has been published in top general audience venues such as Science, Nature, and Nature Human Behaviour and featured in media outlets such as Forbes, Scientific American, The Atlantic, Harvard Business Review, and MIT Technology Review. In 2023, he was named to Forbes 30 under 30: Science list.

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).  

Malte Ziewitz studies the changing role of data-driven technologies in establishing, maintaining, and subverting social order. An ethnographer and STS scholar, his recent work looked at the lived experience of credit scoring subjects, the search engine optimization (SEO) industry, and attempts at algorithmic regulation. 
 

 
 

Dr. Kaitlyn Zhou is an incoming professor at Cornell University in the Bowers College of Computing and Information Science. Her contributions have been recognized at top-tier conferences in NLP and HCI. She has received awards such as NAACL Best Paper Runner-Up, MIT EECS Rising Star, Stanford Graduate Fellowship, and the College of Engineering Dean’s Medal and her methods have been featured in high-profile news outlets like the New York Times and Wall Street Journal. Kaitlyn received her PhD in Computer Science from Stanford University where she was advised by Dan Jurafsky. Kaitlyn has long advocated for increased access, inclusion, and equity in higher education and was appointed by the Washington State Governor to serve on the University of Washington Board of Regents.