Tim G. Zhou
Tim (right)
;Porteau Cove, BC
.I am a first-year PhD-track Master’s student in Computer Science at UBC, co-advised by Dr. Geoff Pleiss and Dr. Evan Shelhamer. I’m interested in application-driven deep learning research, particularly in self-supervised vision foundation models, uncertainty quantification, computational efficiency, and multi-modeling.
Piragua, piragua, new block of ice, piragua. – “In The Heights”
My undergraduate honours thesis focused on uncertainty quantification in deep learning, where I developed Asymmetric Duos, a computationally efficient method for improving the predictive uncertainties of large neural networks in high-risk applications.
Peviously, I was a research assistant in UBC SPIN Lab (HCI & Robotics), where I gave fluffy robots heartbeats and made them breathe.
Outside of research, I am an enthusiastic, albeit mediocre, bird watcher, and perform with UBC Acappella.
news
| Sep 18, 2025 | Asymmetric Duos was accepted to Neurips 25 as a spotlight paper. |
|---|---|
| May 06, 2025 | I received the Martin Frauendorf Memorial Prize in Computer Science, awarded annually to one graduating UBC CS student for outstanding leadership and service to the department ($900). |
| Apr 28, 2025 | I graduated with Distinction from the University of British Columbia with a Combined Honours B.Sc. in Computer Science and Statistics. |
| Dec 20, 2024 | I received UBC’s International Student Scholarship ($9000). |
| Dec 20, 2024 | I wrapped up my TA duties for CPSC 320: Algorithm Design. My favourite student feedback from the TA evaluation survey is “Tim is always in a good mood” ;-) |