Adrien Bolens
Quantitative Researcher
Dresden, Saxony, Singapore
Summary
👤
Senior🎓
Top SchoolAdrien Bolens is a quantitative researcher with 9 years of experience bridging theoretical physics and data-driven finance, currently applying statistical mechanics and machine learning techniques at Squarepoint in Dresden. He holds a PhD in theoretical and mathematical physics from the University of Tokyo and completed postdoctoral work at Max Planck and EPFL, where he developed advanced models for complex systems. Adrien combines deep mathematical rigor with practical programming skills to turn research-grade ideas into production-ready quantitative strategies. He brings a rare blend of condensed matter intuition and hands-on data science, useful for finding structure in noisy, high-dimensional markets. His background suggests a habit of translating fundamental science into applied algorithms rather than staying purely academic.
9 years of coding experience
2 years of employment as a software developer
University of TokyoMaster's degree Engineering Physics/Applied Physics, Master's degree Engineering Physics/Applied Physics at EPFL
French, English, Japanese, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
simulations7
reinforcement-learning4
cuda1
mpi1
python1
parallel1
hpc1
parallel-computing1
high-performance1
gpu1
scientific-computing1
Programming languages (3)
Github contributions (5)
adrienbolens/reinforcement-learning-and-quantum-simulations
May 2019 - Sep 2019
Reinforcement learning applied to digital quantum simulations
Contributions:60 commits, 2 PRs, 7 pushes in 4 months
reinforcement-learningsimulationsquantumreinforcementquantum-simulations
adrienbolens/introduction-to-q-learning
Jun 2019 - Aug 2019
Contributions:25 commits, 17 pushes in 1 month
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