Jérémie Turcotte
Quantitative Researcher
Montreal, Quebec, Canada
Summary
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Rockstar🎓
Top SchoolJérémie Turcotte is a quantitative researcher with a PhD in mathematics and six years of experience applying rigorous mathematical and machine learning methods to real-world problems. He has moved from academia and teaching into industry roles, building deep learning and graph-based models for therapeutic target discovery at Simmunome and developing reliability models for electrical networks at Hydro-Québec. Now at Squarepoint, he combines probabilistic modeling, algorithmic thinking, and practical software skills to drive data-driven strategies. Comfortable coding in Python and R and versed in symbolic computation, he brings both theoretical depth and hands-on engineering to complex quantitative problems. An understated strength is his background in teaching and symbolic calculation, which sharpens his ability to explain intricate models and produce auditable, reproducible analyses.
6 years of coding experience
2 years of employment as a software developer
Master's degree Mathematics, Master's degree Mathematics at Université de MontréalDoctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at McGill University
French, English
Github Skills (6)
mathematical9
formal-methods8
theorem-proving8
mathematics8
javascript7
math6
Programming languages (1)
Github contributions (3)
tjeremie/Cops-and-robbers
Mar 2020 - Mar 2020
Contributions:5 pushes, 1 branch in 1 day
tjeremie/nevae-ift6269
Dec 2024 - Dec 2024
Contributions:2 pushes, 1 branch in 5 days
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