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Selim Amrouni

Selim Amrouni

AI researcher focused on multi‑agent RL and financial markets

selim_amrouni
New York, New York, United States
Joined April 2026

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Quantitative Finance Professionals
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French Engineering & Energy
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J.P. Morgan AI Research
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Citadel Quants & Traders
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AI Research Leads
Energy & Commodities Experts
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Summary

AI research applied to financial markets and trading: Selim has authored and co‑authored multiple research outputs (arXiv, ACM proceedings) and worked in AI Research roles at J.P. Morgan focused on multi‑agent simulations and reinforcement learning for market environments. arxiv+3
Bridging research and productization: work includes research papers, a patent application on natural‑language driven document generation, and contributions to practical simulation tooling (ABIDES‑gym), indicating experience turning research into reusable tools and IP. google+2
Hands‑on applied data science and engineering: Selim has built open‑source projects (portfolio RL, Kaggle solutions) and completed applied internships and roles (NYU Langone Health, Tatonetti Lab) where he implemented predictive modeling and optimization for healthcare operations. github+3
Strong quantitative and engineering foundation from multidisciplinary education: holds engineering and applied mathematics training (CentraleSupélec), a specialized master's in energy economics (IFP School), and an MS in Operations Research from Columbia, supporting work at the intersection of ML, optimization and finance. github

Work

Education

Projects

Hobbies

Running (e.g., Central Park), exploring cities, and trying new cooking recipes. github