Experience

Senior Data Scientist

Mar 2020 - Present Atos - Bull Grenoble (FR)

Machine learning physical dynamics (Scientific Machine Learning) on High-Performance Computers (HPCs). Atos Big Data & Security - Ai4Sim team

  • Research in AI for Physics

    Research on machine learning fluid dynamics with Hamiltonian Neural Networks (HNNs), Physics-Informed Neural Networks (PINNs), Auto-encoders. Applications to weather forecasting and chaotic dynamical systems.

  • R&D collaboration with the Airbus Flight Physics department

    Surrogating complex numerical simulations of fluids around airfoils for the aeronautic industry. Development and tuning of convolutional deep learning models on HPC platforms. Coupling between CFD solvers and machine learning graphs.

  • Member of the Atos Expert Community

Computer Science Engineer

Oct 2016 - Mar 2020 INRIA spin-off Grenoble (FR)

  • Fullstack developer

    Develop and maintain a full and high-disponibility data-driven service. Embedded SDK, frontend dashboards, servlets, backend computing cluster.

  • Data Scientist & Engineer

    Digital signal processing and machine learning stack to provide context-aware, high-level semantic informations. Decision making algorithms in the challenging environment of embedded systems. Robust data pipelines and algorithms with a variable number of sensors, data sources.

Engineering school internships

SAP SE Walldorf (DE)

  • Master thesis student

    Mar 2016 - Sep 2016

    Learning to rank strategies of investment. Training algorithms with financial data to optimize investment strategies made of bonds & equities with respect to different risk and performance measures. SAP HANA Vora team [PDF]

  • Second year internship

    Jun 2015 - Sep 2015

    Ranking aggregation for portfolio optimization. Use of different risk-driven performance measures, eg. Sharpe ratio, Value at Risk, Maximum drawdown... Strong emphasis on stochastic optimization heuristics like the Cross-Entropy Monte Carlo method for large-scale and complex problems. SAP HANA Vora team

Research Assistant

Feb 2015 - Jun 2015 INRIA Grenoble (FR)

Graphical Bayesian models for high-dimension regression using Gaussian mixtures. Applied to the retrieval of physical properties from hyperspectral images. Modelling spatial dependencies with Markov Random Fields. INRIA MISTIS team

Software Developer

Jul 2014 - Sep 2014 NSIGMA Junior-Enterprise Grenoble (FR)

Simulating the behaviour of a gas circuit breaker (protecting electrical power stations) for a major industrial group. Development of a pre-dimensioning tool (low-level optimized C-language). Numerical methods for solving mechanical systems, fluid dynamics and thermodynamics equations.

Education

Research-oriented Master

2015 - 2016 Research MSc in Data Science (MSIAM) Grenoble (FR)

Applied statistics, Machine Learning and Data Science, Convex optimization, Stochastic calculus for finance. Grenoble INP, IM²AG - MSIAM program (Master of Science in Industrial and Applied Mathematics )

Engineering school

2013 - 2015 Grenoble Institute of Technology - Ensimag Grenoble (FR)

Two years with a strong emphasis on software development (C/C++, Java, functional languages, MapReduce / Big Data etc.) and applied mathematics / statistics and their usual tools (Python, Matlab, R). Advanced algorithmics (complexity theory, AI projects). Mathematical Modeling, Image & Simulation

Preparatory classes

2015 - 2016 Lycée Pierre de Fermat Toulouse (FR)

Two-year intensive program preparing for the national competitive exam for engineering schools (Grandes Écoles). Major in mathematics, minor in physics and engineering. MPSI/MP

Personal interests

I practice mountaineering and martial arts. I have a specific interest for history, cultures and languages. I speak fluent French and English. I also have a special interest for linguistics, especially the Germanic and Romance language families.