Education
- 2020-2023 : PhD Candidate at CMAP, Ecole Polytechnique, France
- 2019-2020 : Research internship at Louvain-la-Neuve, Belgium
- 2018-2019 : MSc in Mathematics, Vision, Learning, Ecole Normale Supérieure Paris-Saclay, France
- 2018-2019 : MSc in Applied Mathematics, Ecole Normale Supérieure Paris-Saclay, France
Work experience
- January - Present 2025/NA : Quantitative Researcher, Qube Research & Technologies
- Joined the CTA team to develop mid-frequency trading strategies, focusing on alpha research across global futures markets. Leveraged statistical and quantitative methods to design, test, and evaluate predictive signals.
- November - December 2020/2024 : Research Scientist, Huawei Technologies
- Started at Huawei as a PhD candidate, focusing on research related to large-scale uncertainty quantification. Continue to develop conformal prediction techniques to generate robust prediction sets. New research area includes diffusion models for image generation and acceleration of image sampling.
- October - June 2019/2020 : Research internship, UCLouvain
- Supervisor : Prof Johan Segers
- Conducted research on empirical processes and Monte Carlo simulations. Utilized control variates to reduce the variance of the Monte Carlo estimate and ensure convergence guarantees for worst-case prediction risk.
- April - September 2019 : Research internship, Télécom Paris
- Supervisor : Prof Florence d’Alché-Buc
- Conducted research on kernel methods, focusing on the feature map to transfer the data into a Hilbert space. By doing so, the solution of a nonlinear optimization problem is transformed into the solution of a linear problem within this Hilbert space (5.5 months).
- April - July 2018 : Research internship, Université Paul Sabatier
- Supervisor : Prof Aurélien Garivier
- Investigated impact of neural network layer numbers on expressiveness, comparing 2-layer and 3-layer networks (4 months).
- April - June 2017 : Research internship, Research Center for Applied Mathematics
- Supervisor : Prof Agnès Desolneux
- Study of stochastic processes to model the sea surface (2 months).
- April - June 2017 : Viva examiner in CPGE (pre-university admission)
- Conducted oral examinations for MPSI students at Lycée Jacques Decour (Paris IX).
PRESS RELEASE
MODELLING SKILLSET
- Probability & Statistics
- Machine Learning
- Optimization
Other
