معرفی
Ange Valli is a PhD candidate in Applied Mathematics at Université Paris-Saclay, hosted at Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec under Professors Abdel Lisser and Sihem Tebbani. He concurrently serves as a part-time teaching assistant in operations research, game theory, and C++ programming at Université Paris-Saclay. His academic journey includes a Diplôme d'Ingénieur (ENSTA, 2021) specializing in artificial intelligence and an M.Sc. in Mathematics for Finance and Data (Université Gustave Eiffel & UPEC, 2022).
Research interests focus on optimal control, machine learning applications, chance constraints, and quantitative finance. His work addresses trajectory planning under uncertainty for autonomous systems, integrating stochastic optimization and neural networks. Publications emphasize continuous-time control frameworks with probabilistic safeguards.
Professional experience includes a role as a Quantitative Analyst at BNP Paribas in the Equity Derivatives Quantitative Research department. No scientific awards are explicitly noted, though his research actively contributes to interdisciplinary fields at the lab. Advising and grant details remain unspecified in the provided texts.
Laboratory affiliations include the Signals and Systems Laboratory (L2S), where he collaborates on projects blending control theory with financial and engineering applications.
