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Lotfi Kobrosly

@lotfikobrosly

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I research Monte Carlo Tree Search and reinforcement learning for continuous planning and optimization.

France

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What I'm looking for

I'm looking to apply research in reinforcement learning, planning, optimization, and machine learning to real-world problems, building on experience across academic and professional AI environments.

I'm pursuing a PhD with Safran Electronics & Defense and Université Paris-Dauphine PSL, researching Monte Carlo Tree Search algorithms for planning in continuous search spaces. My work centers on combinatorial optimization, planning and scheduling, reinforcement learning, and Markov decision processes.

I've also applied AI research in internships at Sicara, Machina Capital, and SRI International, from few-shot learning and stock-market prediction to cryptocurrency transaction analysis. I build and experiment in Python using machine learning and deep learning tools including TensorFlow, PyTorch, NumPy, Scikit-learn, SciPy, Docker, and Linux.

Experience

Work history, roles, and key accomplishments

PhD Student

Safran Electronics & Defense

Apr 2022 - Sep 2025 (3 years 5 months)

Conducting doctoral research on planning with Monte Carlo Tree Search algorithms, focusing on continuous search spaces under a CIFRE contract.

Monte Carlo Tree Search (MCTS)Planning Scheduling Reinforcement Learning Combinatorial Optimization

Artificial Intelligence Research Intern

Sicara

Apr 2021 - Oct 2021 (6 months)

Collected information on state-of-the-art algorithms in few-shot learning, experimented with various algorithms on projects, and analyzed differences between academic and real-world data.

Python Few Shot Learning TensorFlow Pandas Scrum Git DVC Streamlit

Artificial Intelligence Intern

Machina Capital

Sep 2019 - Feb 2020 (5 months)

Learned and applied the Scattering transform on 1D signals, and applied machine and deep learning to predict stock market evolution.

Machine Learning Convolutional Neural Networks Signal Analysis PyTorch Kymatio Xarray

Data Science Research Intern

SRI International

Apr 2019 - Aug 2019 (4 months)

Performed pattern recognition and transaction analysis on Bitcoin and Litecoin to detect intra and inter synchronized addresses.

Python Algorithm Development Optimization Paper Reading Implementation

Responsible of the Sponsors Cell

Point Gamma Association

Nov 2017 - Nov 2018 (1 year)

Talked to various companies to get sponsorship and established partnership contracts with Roland Berger and Meteojob, achieving a combined sponsorship value of 7500€.

Sponsorship Partnerships Communication Skills