Thomas Lemercier
Quant Researcher at Qube Research & Technologies
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolThomas Lemercier is a quantitative researcher and MEng student at CentraleSupélec with eight years of hands-on experience applying mathematics, machine learning, and systems programming to real-world problems. He has contributed to applied R&D across academia and industry—from representation learning for heterogeneous microscopy at ENS to multi-object detection for drone cameras at Thales and ML systems for government and conservation projects at Paris Digital Lab. Currently at Qube Research & Technologies, he blends deep theoretical training (Master MVA coursework) with practical engineering—building C++ engines, SIMD-optimized visualizations, and production-ready PyTorch models. Competitive results in IARAI’s Science4cast and a track record of student-led projects and workshops reflect both curiosity and the ability to ship working prototypes. Notably, he pairs low-level performance tuning with modern ML approaches, making him comfortable across the stack from numerical simulations to graph neural networks.
8 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Master of Engineering - MEng at CentraleSupélecMaster MVA, MATHEMATICS AND STATISTICS, Master MVA, MATHEMATICS AND STATISTICS at École normale supérieure Paris-Saclay
Github Skills (5)
react4
bluetooth4
ios3
android3
react-native3
Programming languages (1)
Github contributions (5)
TomJ92/19_20_TWOIng4_Project
Nov 2019 - Dec 2019
Contributions:107 pushes, 3 branches in 28 days
Thomas7156/Projet_Android
Mar 2020 - Apr 2020
Contributions:43 pushes, 2 branches in 1 month
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