Dr. Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and spends time at Google as a part of the Brain team. Dr. Koyejo was previously an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research interests are in developing the principles and practice of trustworthy machine learning, focusing on applications to neuroscience and healthcare. Dr. Koyejo completed his Ph.D. in Electrical Engineering at the University of Texas at Austin, advised by Joydeep Ghosh, and completed postdoctoral research at Stanford University. His postdoctoral research was primarily with Russell A. Poldrack and Pradeep Ravikumar. Dr. 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, a Sloan Fellowship, an NSF CAREER award, a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping (OHBM). Koyejo serves as the co-general chair of NeurIPS 2022 and is president of the Black in AI organization.
The Koyejo lab works to develop the principles and practice of trustworthy machine learning, including fairness and robustness. Their applied research includes applications to healthcare and neuroimaging. Representative work includes descriptive models for dynamic brain connectivity and generative models for biological images.