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Resume (English only)
Academic Achievements
Published multiple papers on spin glasses, stochastic homogenization, singular stochastic PDEs, and interacting particle systems, and delivered talks at several important international conferences.
Research Experience
Delivered talks at multiple academic conferences, including:
- A PDE approach to mean-field disordered systems (24h lecture series), CRM-PIMS summer school in probability (2022).
- Quantitative homogenization of interacting particle systems, Webinar on stochastic analysis (2022).
- Rank-one matrix estimation and Hamilton-Jacobi equations (3h lecture series), Open online probability school (2020).
- Mean-field disordered systems and Hamilton-Jacobi equations, One World probability seminar (2020).
- Homogénéisation stochastique, Institut Henri Poincaré (2018).
- Describing the fluctuations in stochastic homogenisation, Banff International research station (2015).
Background
Current research interests primarily relate to machine learning or statistical physics, with a significant focus on the study of spin glasses. Other areas explored include stochastic homogenization, singular stochastic PDEs, and interacting particle systems.