About me

I am a first-year Computer Science PhD student advised by Dr. Evan Shelhamer in the Hammer Lab at The University of British Columbia. Generally, I study learning, vision, and adaptation. My current projects focus on interpretability and energy efficiency of deep computer vision models during test-time adaptation.

I am also passionate about community and service, particularly increasing interest in and accessibility of CS research for people traditionally underrepresented in our field.