Ange Valli

Laboratoire
Laboratoire Signaux et Systèmes
Mots cles
Stochastic Optimisation, Optimal Control, Chance constraints, Machine Learning, Neural Networks, Quantitative Finance, Optimal Transport

Résumé

Ange Valli received the "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 University Gustave Eiffel 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 University Paris-Saclay within the host institutions Laboratoire des Signaux et Systèmes (L2S) and Fédération de Mathématiques de CentraleSupélec, under the supervision of Prof. Abdel Lisser and Prof. Sihem Tebbani. He worked as a part-time teaching assistant at University Paris-Saclay in operations research, game theory, C++ programming, introduction to artificial intelligence course and databases. His research interests include stochastic optimisation, optimal control, quantitative finance, neural networks and optimal transport.

Publications (1)