Bio

Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and an adjunct Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo leads Stanford Trustworthy AI Research (STAIR), working to develop the principles and practice of trustworthy machine learning, focusing on applications to neuroscience and healthcare. Koyejo completed a Ph.D. at the University of Texas at Austin, and postdoctoral research at Stanford University. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence, a Skip Ellis Early Career Award, a Sloan Fellowship, a Terman faculty fellowship, an NSF CAREER award, a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping. Koyejo spends time at Google as a part of the Brain team, serves on the Neural Information Processing Systems Foundation Board, the Association for Health Learning and Inference Board, and as president of the Black in AI organization.

Shorter Bio

Sanmi Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University. Koyejo leads Stanford Trustworthy AI Research (STAIR), working to develop the principles and practice of trustworthy machine learning. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Skip Ellis Early Career Award, and a Sloan Fellowship.

Even Shorter Bio

Sanmi Koyejo is an Assistant Professor in CS at Stanford interested in the principles and practice of trustworthy machine learning.

Shortest(?) Bio

Koyejo is faculty at Stanford CS.