My research applies a computational lens to helping groups achieve their collective goals. I design, build, and study social computing systems at scales from teams to crowds.
Michael Bernstein is an Associate Professor of Computer Science and STMicroelectronics Faculty Scholar at Stanford University, where he is a member of the Human-Computer Interaction Group. His research focuses on the design of social computing and crowdsourcing systems. This research has won best paper awards at top conferences in human-computer interaction, including CHI, CSCW, and UIST, and recently a Lasting Impact Award from UIST 2020. Michael has been recognized with an NSF CAREER award and an Alfred P. Sloan Fellowship. He holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.
Publications
Amy X. Zhang, Grant Hugh, Michael Bernstein
Mark Whiting, Michael Bernstein
Ranjay Krishna, Li Fei-Fei, Jeffrey Hancock, Michael Bernstein
Mark Whiting, Irena Gao, Michelle Xing, N'godjigui Junior Diarrassouba, Tonya Nguyen, and Michael Bernstein
Sharon Zhou*, 
Mitchell Gordon*, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael Bernstein
Mark Whiting, Allie Blaising, Chloe Barreau, Laura Fiuza, Nik Marda, Melissa Valentine, and Michael Bernstein
Mark Whiting, Grant Hugh, and Michael Bernstein
Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael Bernstein
Ranjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei
Ranjay Krishna, Michael Bernstein, Li Fei-Fei
Ali Alkhatib, Michael Bernstein
Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael BernsteinTeaching 2020–2021
Teaching 2019–2020
Talks and Events
Ph.D. alumni
Senior Research Scientist, Lilt
Assistant Professor, UC Berkeley
CTO, NEX
Research Scientist, Facebook Core Data Science
UX Research, Facebook
Research Scientist, Adobe
Assistant Professor, Carnegie Mellon
Postdoc alumni
Assistant Professor, University of Washington
Postdoc, University of Pennsylvania
Pi Network