Ange VALLI

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Affiliation actuelle
  • Laboratoire des signaux et systèmes (L2S)
Identifiants chercheurs

Présentation

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 the 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 the University of Paris-Saclay, where he taught courses on operations research, game theory, C++ programming, an introduction to artificial intelligence, and SQL language for databases. His research interests include stochastic optimisation, geometric optimisation, optimal control, optimal transport, neural networks and quantitative finance.


Compétences

Python Jupyter Quantitative Finance Machine Learning Stochastic Calculus Probability C++ Statistics Optimization

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