Curriculum Vitae
Academic Appointments
2024–present — Junior Professor (CPJ)
École nationale des ponts et chaussées, Institut Polytechnique de Paris, France.
CEREA, research on data assimilation and scientific machine learning.
Honorary Research Fellow
Imperial College London, United Kingdom.
2020–2024 — Research Associate
Data Science Institute, Imperial College London, United Kingdom.
Education
2020 — PhD, Université Paris-Saclay, France
Research on data assimilation and uncertainty quantification.
Research Interests
- Data assimilation, inverse problems and uncertainty quantification.
- Scientific machine learning and physics-aware modelling.
- Reduced-order modelling and latent-space data assimilation.
- Generative models for reconstruction and forecasting.
- Applications to wildfire, air quality and computational physics.
Service and Responsibilities
2025–2027 — Theme Leader, Data Assimilation
SAMA Working Group, Institut Pierre-Simon Laplace (IPSL), involving more than 20 permanent researchers.
2026–2027 — Guest Editor
Climate Physics and Atmospheric Science: Scientific Insights and Societal Challenges.
Special issue: “Global Air Quality: Advances in Monitoring, Forecasting, and Applications”.
2024–2025 — Executive Guest Editor
Computer Physics Communications.
Special issue: “Advances in Physics-Aware Machine Learning”.
2024–present — Early Career Editorial Board Member
Meteorological Applications.
2023–present — Topical Advisory Panel Member
Remote Sensing, AI Remote Sensing Section.
2022, 2023 — Scientific Committee Member
MLDADS, International Conference on Computational Science (ICCS).
Teaching and Supervision
Teaching and practical sessions in data science and machine learning at Imperial College London, including contributions to the MSc Environmental Data Science and Machine Learning programme.
Supervision and co-supervision of PhD students and Master’s research projects in data assimilation, scientific machine learning and environmental modelling.
See the People page for further details.
Scientific Software
TorchDA
A Python package for data assimilation with deep learning forward and transformation models. Published in Computer Physics Communications (2025).
PyTorchFire
A GPU-accelerated, differentiable cellular automata simulator for wildfire modelling and parameter calibration. Published in Environmental Modelling & Software (2025).