About
- I build ML systems that detect harmful content and behavior on Twitch, from research to production.
- I'm interested in multimodal content understanding, data-centric ML (synthetic data, human-in-the-loop supervision, evals), and methods for training efficient, scalable models.
- Previously, I did applied research on search and document intelligence at Element AI (acquired by ServiceNow).
- I completed my MAsc at the University of Waterloo, advised by Dr. Mark Crowley and Dr. Joon Lee.
- Outside of work, I enjoy basketball, hiking, and cycling.
Work
- — Applied Scientist2022–
- — Applied Research Scientist2021–22
- (acquired) — Applied Research Scientist2018–21
- — Research Intern2015
For Fun
Tour du Bay
KindKeys
Match 'Em!Projects
- 2022
-
Shogun Machine Learning Toolbox — Google Summer of Code2017
-
ConSat-3 — Canadian Satellite Design Challenge, 1st place2016
-
Machine Competition — Jeux de Génie, 1st place2015
-
LearnStream — UofTHacks IV, 3rd place2015
-
EyeTalk — Hack4Health 2.0, $500 award2015