I am an assistant professor in the Department of Statistics at the University of British Columbia, where I am an inaugural member of CAIDA's AIM-SI (AI Methods for Scientific Impact) cluster. I am also a faculty member of the Vector Institute.
Previously, I was a postdoc at Columbia University with John P. Cunningham. I received my Ph.D. from the CS department at Cornell University in August 2020. where I was advised by Kilian Weinberger and also worked closely with Andrew Gordon Wilson.
My research interests intersect deep learning and probablistic modeling. Major focuses of my work include:
More specifically, some recent interests include
I am also an active open source contributior. Most notably, I co-created and maintain the GPyTorch Gaussian process library with Jake Gardner.
Interested in joining my lab? I am looking for prospective M.S. students, Ph.D students, and postdocs with research interests similar to my own. While I am open to strong students with any ML/stats interests, I am particularly hoping to hire lab members for the following research topics:
For a full list of publications, please see my CV or my Google Scholar page.
For a full list of respositories I actively contribute to, please see my Github page.