Adjunct Professor

• 2026 - NYU Tandon School of Engineering — Machine Learning in Financial Engineering — GitHub Repository

• 2025 - 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

• Quantitative Finance
• SIAM Journal of Financial Mathematics
• Journal of Computational and Applied Mathematics
• MCQMC 2020 Proceedings

Internship Supervision

• 2023-2025 — Bloomberg L.P. — Dounia Essaket - 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

Bloomberg Open Source Series

• 2025 — Mentor — Pandas

Climate Project

• 2024-2025 — 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).