Biography

I am a postdoctoral researcher at the Institute Louis Bachelier, hosted within Fondation du Risque, where I work in the Chair in Artificial Intelligence and Quantitative Methods for Finance. My scientific supervisor for this postdoctoral appointment is Nizar Touzi.

My research develops mathematical and statistical foundations for learning and generating stochastic systems from dependent data. I am particularly interested in the interaction between generative modelling, optimal transport, stochastic control, probability, mathematical statistics, and partial differential equations.

Before joining the Institute Louis Bachelier, I was a postdoctoral researcher at the Laboratoire de Probabilités, Statistique et Modélisation, Sorbonne University and Université Paris Cité, under the scientific supervision of Huyên Pham . I completed my PhD at KTH Royal Institute of Technology under the supervision of Boualem Djehiche .

My work combines finite-sample statistical guarantees, transport and control formulations for stochastic generative models, and analytical and computational methods for reliable scientific machine learning.

Research interests

  • Statistical foundations of generative stochastic models
  • Optimal transport and stochastic control
  • Schrödinger bridges and diffusion-based generative modelling
  • Learning from dependent and time-series data
  • PDE analysis and computational methods
  • Scientific machine learning

Appointments and education

2026–Present
Postdoctoral Researcher Institute Louis Bachelier, hosted within Fondation du Risque.
Chair in Artificial Intelligence and Quantitative Methods for Finance.
Scientific supervisor: Nizar Touzi.
Research position supported by Jump Trading.
2023–2026
Postdoctoral Researcher Laboratoire de Probabilités, Statistique et Modélisation, Sorbonne University and Université Paris Cité.
Scientific supervisor: Huyên Pham .
Research programme supported by BNP Paribas.
2017–2023
PhD in Applied and Computational Mathematics: Probability and Statistics KTH Royal Institute of Technology.
Thesis: Data-Driven Modeling in the Presence of Time Series Structure: Improved Bounds and Effective Algorithms .
Advisor: Boualem Djehiche .
2014–2016
MSc in Applied and Computational Mathematics KTH Royal Institute of Technology.
Perfect GPA (4.0/4.0) and KTH Scholarship for Academic Excellence.
Thesis: Optimal Consensus and Opinion Dynamics.
Advisor: Xiaoming Hu.
2008–2013
BSc in Pure Mathematics and Theoretical Physics; MSc in Industrial Engineering École Mohammadia d’Ingénieurs, Rabat.
Highest GPA and Best Master’s Thesis Award.

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