Curriculum Vitae

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Experience

  1. Student Researcher

    Google Research
    • Researched stochastic and robust optimization methods for large-scale vehicle routing under demand uncertainty.
    • Built an end-to-end Python analytics pipeline for large-scale experiments, model evaluation and performance reporting.
    • Developed evaluation metrics to measure route consistency, ETA stability and customer-to-vehicle allocation quality.
    • Designed algorithms that improved consistency by 70% across routing, estimated arrival times and customer allocation.

  2. PhD Researcher

    Sorbonne University — LPSM
    Thesis on stochastic optimization for optimal transport. Developed and analyzed SGD-based algorithms with adaptive entropic regularization (NeurIPS 2025 Spotlight & NeurIPS 2025) and adaptive gradient methods for unbalanced OT (COLT 2026).

  3. Project: Optimal Transport-based Statistics Python Library

    Open-source contribution to POT
    Developing a high-performance OT-statistics module for the Python Optimal Transport library. Focus on scalable implementation, uncertainty quantification, and high-performance computation using PyTorch for GPU and C++ for CPU. Release expected in May 2026.

Education

  1. PhD in Mathematics & Statistics

    Sorbonne University
    Thesis: Stochastic Algorithms for Optimal Transport (expected defense Aug 2026). Advisors: , , .

  2. M.Sc. in Applied Mathematics

    Sorbonne University
    Ranked first in cohort.

  3. M.Sc. in Data Science

    Statistical Institute of Paris (ISUP)
    Ranked first in cohort.
Skills
Programming
Python (PyTorch, scikit-learn, NumPy, Pandas)
C++ (reading & modifying)
Protocol Buffers
LaTeX
Machine Learning
Statistical Learning
Optimal Transport
Optimization (Convex / Stochastic)
Multivariate Statistics & Missing Values
Awards
ICML Gold Reviewer Award
International Conference on Machine Learning (ICML) ∙ May 2026
NeurIPS 2025 Spotlight
NeurIPS ∙ September 2025
Spotlight paper on Stochastic Optimization in Semi-Discrete Optimal Transport.
Ranked 1st in M.Sc. cohort (Applied Mathematics & Data Science)
Sorbonne University / ISUP ∙ June 2023
Languages
  • French — Native
  • English — Advanced
  • Russian — Advanced
CV (PDF preview)

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