The STAIRS project has officially started
Welcome to my personal webpage
As a researcher and data scientist, I apply my expertise in Mathematical Optimization and Machine Learning to model and solve real-life problems. I have over 6 years of experience in conducting cutting-edge research in computer science, with a focus on Mathematical Optimization and Machine Learning problems. I am passionate about finding innovative and efficient solutions for challenging and impactful problems, such as strategic allocation for private equity investors, heuristic design for combinatorial optimization, and deep symbolic regression for heuristic learning. I have published multiple papers in prestigious journals and conferences, and I collaborate with researchers and practitioners from different domains and disciplines. I am always eager to learn new skills and take on new challenges.
I received a :
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PhD in Computer Science (Optimization & Algorithms)
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Master in Computer Science (Optimization & Algorithms)
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Bachelor Degree in Computer Science
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Technology University degree in “Statistique et Informatique Décisionnelle” (Business-Intelligence) in 2011
In 2016, I obtained the certificate “Smart ICT for Business Innovation” from the University of Luxembourg.
My primary research interests include mathematical optimization, evolutionary computing and data-mining.
Current research projects:
- [2023 - 2027] - High Performance Decomposition Algorithms for Combinatorial Optimization and Machine Learning (ADHOC), funded by ANR and FNR – main co-author
- [2021 - 2022] - Toward A.I. Recommitment Strategies for ESG integration in Private Equity, funded by the European Investment Bank (EIB) – principal researcher
Teaching:
- [2015 - ] - Intelligent Systems - Problem Solving
- [2015 - 2018] - Algorithms 3
PhD student advisor:
- [2022 - ] - Tobias Fischbach, Using non-equilibrium thermodynamics to optimize the energy demand of computation (NETCOM) funded by the Institute of Advanced Studies (IAS)
Master student advisor:
- 2022 - Victor Sanchez-Gimenez Hybrid, University of Luxembourg - Quantum-Classical Branch and Price Method for Large Scale Optimization Problems
- 2021 - Yann Cauchepin, Polytech Lille - Deep Reinforcement Learning for Combinatorial Optimization