Drag and Drop Website BuilderPhD student, Inria & ENS Paris
EDUCATION
• Ph.D. student in Computer Science at Inria Paris and École normale supérieure (ENS) - PSL University, within the VALDA team, working on graph representation for multivariate time series analytics, supervised by Paul Boniol and Michael Thomazo
• Double M.Sc. program in Computer Science at the National University of Singapore (NUS) and in Applied Mathematics at ENSTA Paris (Superior National School of Advanced Techniques, French Grande École Engineering Degree) - Institut Polytechnique de Paris
• B.Sc. in Applied Mathematics at Université Toulouse III - Paul Sabatier
EXPERIENCE
• ESA Analysis of ESA (European Space Agency) Climate Change Initiative contribution to IPCC reports. Harwell, UK, February - May 2024
• CNRS Neural networks for system dynamics at CNRS@CREATE (Centre National de la Recherche Scientifique) in Singapore, under the supervision of Stéphane Bressan, September 2022 to November 2023
• IPCC Meta-analysis of the 6th Assessment Report of the IPCC (Intergovernmental Panel on Climate Change), under the supervision of Sarah Connors, September 2021 to February 2022
• Harvard University Physics-informed neural networks for solving Navier-Stokes equations in turbulent channel flow, within the StellarDNN team at John A. Paulson School of Engineering and Applied Sciences (SEAS), under the supervision of David Sondak and Pavlos Protopapas, May - August 2021
• IRIT Neural networks for predictive maintenance of aircraft engines within the SAMoVA team of IRIT (Toulouse Institute for Research in Computer Science) in collaboration with ISAE Supaéro, under the supervision of Thomas Pellegrini, June 2019
• Météo France Statistical modeling applied to visibility and fog phenomena at the Forecasting Operations Department, under the supervision of Olivier Mestre, August 2018
PAPERS
- Chavelli, F. et al. (2024). Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems. Arxiv, NeurIPS ML4PS 2024
- Chavelli, F. et al. (2023). Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations. DEXA 2023
TALKS • Intrinsic Dimension Estimation of Dynamical Systems, DEXA 2023, Penang, Malaysia • Discovering State Variables from Experimental Data, SinFra 2023, IRIT, Toulouse • Discovering Degrees of Freedom from Experimental Data, joint NUS-JSPS seminar 2023, NII, Tokyo
POST • What 13,500 citations reveal about the IPCC’s climate science report, CarbonBrief, 2023
REPORT • Analysis of the WGI contribution to the Sixth Assessment Report: Review of the WGI AR6 references, IPCC WG1 TSU, 2023 (AR6 preface)
• Ideal-de-France: resource platform on the ecological transition in Ile-de-France for international students. Winning project (gold medal) of the 2020-2021 Student Ambassadors Trophy of the Ile-de-France region
VOLUNTEERING
• Facilitator of the Climate Fresk, a playful, collaborative and creative workshop to raise awareness about climate change (since 2022)
• Member of the studies and communication divisions of Co'p1 Solidarités Étudiantes : collection, management and distribution of foodstuffs, conducting Co'p1's first socio-statistical survey on student poverty, and the creation of Co'p1 website (2020 - 2022)
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