University of Toronto
Ph.D., Computer Science, 2021
Thesis: Learning to Build Probabilistic Models with Limited Data
Advisor: Richard Zemel
University of Toronto
M.Sc., Computer Science, 2014
Yale University
B.Sc. cum laude, Biomedical Engineering, 2010
SK Telecom, Research Intern, 2018
Twitter, Research Intern, 2016
DataX Postdoctoral Fellowship, Princeton
University, 2023-2024
TMLR Expert Reviewer Certification, 2023
NeurIPS Outstanding Reviewer Award, 2019, 2021
ICIP Finalist for Best Student Paper Award, 2017
ICVSS Best Presentation Award, 2014
Action Editor
TMLR
Area Chair
AutoML
Journal Reviewer
CVIU, JMLR, TMLR
Conference Reviewer
AISTATS, CoLLAs, CVPR,
ICLR, ICML, NeurIPS
