FÉLIX CHAVELLI

Applied Mathematics & Machine Learning

EDUCATION

• M.Sc. (by Research) in Computer Science at the National University of Singapore (NUS)

• M.Sc. (French Grande École Engineering Degree) in Applied Mathematics at ENSTA Paris (Superior National School of Advanced Techniques) - Institut Polytechnique de Paris

• M1 Applied Mathematics at Paris-Saclay University / Institut Polytechnique de Paris

EXPERIENCE

• ESA Analysis of ESA (European Space Agency) Climate Change Initiative contribution to IPCC reports. Harwell, UK, February - May 2024, GitHub

CNRS Neural networks for system dynamics at CNRS@CREATE (Centre National de la Recherche Scientifique) in Singapore, under the supervision of S. 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 S. Connors, September 2021 to February 2022

Harvard University Physics-informed neural networks for solving Navier-Stokes equations at the IACS (Institute for Applied Computational Science), under the supervision of D. Sondak and P. 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 T. Pellegrini, June 2019

Meteo France Statistical modeling applied to visibility and fog phenomena at the Forecasting Operations Department, under the supervision of O. Mestre, August 2018

CNES Summer School on Orbital Systems: lectures, thematic studies, introduction to aerospace engineering and industrial visits, July 2018

WORK

PAPER • Chavelli, F., Zi-Yu, K., Low, J.S.C., Bressan, S. (2023). Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations. In: Strauss, C., Amagasa, T., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. Lecture Notes in Computer Science, vol 14146. Springer, Cham. TALKS • Intrinsic Dimension Estimation of Dynamical Systems, DEXA 2023, Penang, Malaysia • Discovering State Variables from Experimental Data, SinFra 2023, IRIT, ToulouseDiscovering Degrees of Freedom from Experimental Data, JSPS 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, Paris, 2023 (AR6 preface).

AWARDS

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, creation of Co'p1 website (2020 - 2022)

• Prospecting and mission follow-up for UPSILON Junior-Enterprise (2018 - 2019)

• Organization of events and writing of articles and reports at Le Catalyseur, pre-incubator of the University Toulouse III (2017 - 2018)

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