Dr. Narayan has built an independently funded “bedside-to-bench-to-bedside” translational research program focused on the mechanisms for human atrial fibrillation and life-threatening ventricular arrhythmias. This work led to the development of mapping techniques for fibrillation that use computational analysis in an attempt to circumvent the limitations of electrogram analysis by computationally reconstructing optical mapping.

Sanmi Koyejo 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.

Awarded in 2024 Home Department: Bioengineering Faculty Advisors: Xiaojing Gao (Chemical Engineering) and Brian Hie (Chemical Engineering)

Home Department: Biology
Mentor: Matthew Wheeler (Medicine - Cardiovascular Medicine)