Short Resume

Education

• PhD in Applied Probability & Machine Learning, Sorbonne Université — Sep 2023–present · Paris
• MSc (MVA) — Mathematics, Vision, Learning, ENS Paris-Saclay — 2022–2023 · Paris-Saclay
• Master’s in Economics & Public Policy, Sciences Po Paris — 2017–2020 · Paris
• Graduate Diploma in Mathematics, King’s College London — 2018–2019 · London
• BA in Social Sciences & Economics, Sciences Po Paris — 2014–2017 · Paris
  • Exchange year — University College London (ESPS) · London

Teaching

Since 2023, I have been involved in teaching activities at Sorbonne Université, including both tutorials (TD) and practical sessions (TP) in the following courses:

• Inferential Statistics (M2)
• Mathematical Statistics (L3)
• Data Science (L1)

Professional Experience

• Research Intern, LPSM, Sorbonne Université — May–Sep 2023 · Paris
  – Numerical & theoretical study of SGMs.
• Research Intern, LPSM, Sorbonne Université — Jun–Jul 2022 · Paris
  – Computational comparison of stochastic optimization algorithms for ML.
• Actuarial Intern, Assurances du Crédit Mutuel — Jan–Jun 2020 · Strasbourg
  – Worked on mathematical provisions under IFRS 17 .
• Business Intelligence Intern, iCOVER — Jun–Oct 2018 · Paris

If you would like a detailed academic CV, feel free to contact me by email.