Rob Brekelmans
Postdoctoral Fellow at Vector Institute
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolRob Brekelmans is a postdoctoral fellow at the Vector Institute in Toronto with nine years of experience bridging academic research and practical rigor in AI and quantitative trading. He earned a PhD in Computer Science from USC’s Information Sciences Institute after an MSc at Imperial College and a multidisciplinary BA in Mathematics and Chinese from Penn, and has worked on AI safety as a research intern at DeepMind. His background includes four years as an options trader, giving him a rare combination of probabilistic modeling skills, research depth, and risk-aware decision-making. At Vector he collaborates with leading researchers on foundational ML problems, bringing both theoretical insight and hands-on experimentation to bear. Fluent in Mandarin and experienced across industry and academia, he often applies cross-disciplinary perspectives to hard problems in machine learning and safety.
9 years of coding experience
Master of Science (MSc), Computing Science, Master of Science (MSc), Computing Science at Imperial College LondonDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Southern CaliforniaMath, Science & Technology, Math, Science & Technology at DuPont Manual High SchoolMandarin Chinese, Mandarin Chinese at CET Beijing Chinese Language ProgramBA, Mathematics, Chinese Language, BA, Mathematics, Chinese Language at University of Pennsylvania
Github Skills (17)
mutual-information9
calculation9
noise9
python8
machine-learning8
pytorch8
echo8
data-science7
tensorflow7
deep-learning7
neural-network5
pattern-recognition4
graph4
jax4
data-cleaning3
Programming languages (1)
Github contributions (5)
brekelma/dsbox_corex
Mar 2018 - Feb 2022
Contributions:6 PRs, 185 pushes, 6 branches in 3 years 11 months
kxh001/ITdiffusion
Feb 2023 - Feb 2023
Contributions:37 commits in 1 day
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