I am a Postdoctoral Scholar at Stanford University working with Scott Linderman and Christopher Ré.  My research focuses on building efficient and reliable systems for scientific discovery, which applications in neuroscience, biomedical research, and machine learning.

I earned my PhD at the Center for Theoretical Neuroscience at Columbia University advised by Liam Paninski and John Cunningham. I was also student researcher at Google, working with the Reliable Deep Learning team. I hold a BS and MS with Honors in Electrical Engineering from KU.

While at Google, I evaluated the reliability of Large Language and Vision Models and assessed the effectiveness of tools like deep ensembles for robust decision-making. In my research, I have built functional imaging, pose estimation, and behavioral segmentation machine learning systems for scientists and organizations. My work has been adopted by Q-state biosciences, the Internal Brain Laboratory, and the Zuckerman Institute, among others.