PhD Candidate in Optimal Control & Machine Learning at Université Paris-Saclay, CentraleSupélec.


PhD Candidate in Optimal Control & Machine Learning at Laboratoire des Signaux et Systèmes, Université Paris-Saclay, CentraleSupélec.

Ange Valli received the Dipl. Ing. Diplôme d’Ingénieur from ENSTA Bretagne (École nationale supérieure de techniques avancées Bretagne) with a specialisation in Artificial Intelligence from ENSTA Paris (École nationale supérieure de techniques avancées) 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. He is also a part-time teaching assistant at Université Paris-Saclay. His research interests include stochastic optimisation, optimal control, stochastic control, quantitative finance and machine learning.