Felix Zhang
Teaching Assistant at University of Toronto
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolFelix Zhang is a graduate student and Teaching Assistant at the University of Toronto specializing in computer systems with eight years of hands-on experience spanning research and ML runtime engineering. His current research focuses on compute offloading in disaggregated data centers, informed by prior work integrating motion-capture, diffusion models, and real-time dynamics control for live performances. He has applied stochastic modeling, information theory, and reinforcement learning across projects—from receptor signaling models to EEG artifact removal—bridging rigorous theory with practical implementations. Felix has industry experience as an ML Runtime Engineer at Cerebras and a track record of shipping research-driven code, making him well positioned for a research career at the intersection of systems and machine learning.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, 97%, High School Diploma, 97% at St. Michaels University SchoolMaster of Science - MSc, Computer Science, Master of Science - MSc, Computer Science at University of Toronto
French, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
python10
django10
orm10
django-framework9
netlify7
x867
operating-system7
web-framework6
encoder-decoder6
rust5
motion-capture5
tailwindcss5
nextjs5
regression-models4
machine-learning3
Programming languages (9)
Github contributions (5)
ff-zhang/ff-zhang.github.io
Jun 2021 - Sep 2024
Contributions:9 PRs, 26 pushes, 26 branches in 3 years 3 months
ff-zhang/mocap-imitation
Aug 2023 - Mar 2024
Simulate motion capture data from the AMASS dataset in MuJoCo
Contributions:4 PRs, 34 pushes, 6 branches in 7 months
motion-capturemujocophysics-simulationreinforcement-learning
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