Ange Valli

Ange Valli received the Dipl. Ing. "Diplôme d’Ingénieur" from ENSTA (École nationale supérieure de techniques avancées) with a specialisation in artificial intelligence in 2021. He received the M.Sc. in Mathematics for Finance and Data from Université Gustave Eiffel and Université Paris-Est Créteil (UPEC) in 2022. He worked as a Quantitative Analyst at BNP Paribas, within the Equity Derivatives Quantitative Research department. He is currently a PhD candidate in Applied Mathematics at Université Paris-Saclay within the host institution Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec, under the supervision of Prof. Abdel Lisser and Prof. Sihem Tebbani. He is also a part-time teaching assistant at Université Paris-Saclay in operations research, game theory and C++ programming. His research interests include optimal control, machine learning, chance constraints, neural networks and quantitative finance.