Oluwasanmi Koyejo

Oluwasanmi Koyejo

Assistant Professor of Computer Science

Stanford University

Sanmi Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University. Koyejo’s research interests are in developing the principles and practice of trustworthy machine learning. Additionally, Koyejo focuses on applications to neuroscience and healthcare. 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.

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Interests
  • Distributed and federated machine learning
  • Learning with complex metrics
  • Metric elicitation
  • Probabilistic graphical models
  • Generative models for biological images
  • Learning with aggregated data
  • Interpretable machine learning
Education

  • PhD in Electrical Engineering, 2013

    University of Texas at Austin

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