Sanmi (Oluwasanmi) Koyejo an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo's research interests are in developing the principles and practice of adaptive and robust machine learning. Additionally, Koyejo focuses on applications to neuroscience and biomedical imaging. Koyejo completed his Ph.D. in Electrical Engineering at the University of Texas at Austin and completed postdoctoral research at Stanford University with a focus on developing machine learning techniques for neuroimaging data. Koyejo has been the recipient of several awards including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping (OHBM). Koyejo serves on the board of the Black in AI organization.
- Autonomous Systems and Artificial Intelligence
- Data science and analytics
- Machine learning
- Medical imaging
- CS 446 - Machine Learning
- CS 598 - Probabilistic Graphical Models
- ECE 449 - Machine Learning