Nick Jia
Machine Learning Researcher at Vector Institute
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolNick Jia is a Machine Learning Researcher with seven years of experience focused on ML, security, and privacy, currently conducting research at the Vector Institute in Toronto. He holds an MASc and is pursuing a PhD at the University of Toronto, building on a high-honours BASc in Engineering Science (Machine Intelligence) where he graduated on the Dean's List. His work blends theoretical rigor with practical research, tackling privacy-preserving and secure ML methods that bridge academia and applied research. Nick maintains a public profile and outreach through a personal site and active presence on X, signaling engagement with the broader ML community beyond peer-reviewed publications. Colleagues would describe him as detail-oriented and research-driven, able to translate complex privacy constraints into usable ML techniques. He brings a rare combination of deep academic training and ongoing institutional research at a leading AI institute.
7 years of coding experience
Doctor of Philosophy - PhD, Machine Learning, Security, and Privacy, Doctor of Philosophy - PhD, Machine Learning, Security, and Privacy at University of Toronto
Github Skills (7)
benchmarking9
adversarial-machine-learning8
security8
robustness8
machine-learning7
cpu3
pytorch2
Programming languages (3)
Github contributions (5)
cleverhans-lab/entangled-watermark
Feb 2020 - Feb 2021
Contributions:10 commits, 1 PR, 6 pushes in 1 year
cleverhans-lab/Proof-of-Learning
Feb 2021 - Oct 2021
Contributions:9 commits in 7 months
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