Adjunct Professor

• 2026 (Fall) - NYU Courant Institute - Trends in Financial Data Science

• 2026 (Spring) - NYU Tandon School of Engineering - Machine Learning in Financial Engineering

• 2025 (Fall) - NYU Courant Institute - Trends in Financial Data Science

Teaching Assistant

• 2021 - École Polytechnique - Aléatoire (Introduction to Probability) - First-year engineering students

• 2017-2019 - HEC Paris & École Polytechnique - MSc Big Data for Business

  • Introduction to Machine Learning
  • Time Series for Financial Data

Referee for Peer-Reviewed Journals

• Finance & Stochastics
• Mathematical Finance
• Quantitative Finance
• SIAM Journal of Financial Mathematics
• Journal of Computational and Applied Mathematics
• Quantum Economics and Finance
• MCQMC 2020 Proceedings

Internship Supervision

• 2023-24-25 - Bloomberg - Dounia Essaket - Ph.D. Quant Fellowship
• 2026 - Bloomberg - Elie Attal - Ph.D. Quant Fellowship

PhD Thesis Examination

• Referee for Ranieri Dugo (University of Rome Tor Vergata) - Rough Volatility Modeling in Financial Data Analysis - Rome, Italy, Feb 2026
• Invited Examiner for Dounia Essaket (Université Paris Cité) - Unhedgeable Risks: Model Risk and Climate Transition - Paris, France, Feb 2026

Climate Project

• 2024-25 - Kellogg School of Management, Northwestern University - Examiner - Climate project

Symposium Organization

• Co-organizer, mini-symposium Climate Risk Modeling and Green Investing (SIAM FM23).
• Co-organizer, mini-symposium Climate Risks: From Modeling to Applications (ICIAM 2023).
• Organizer, mini-symposium Recent Advances in Volatility Modeling (12th World Bachelier Congress 2024).