Full-stack Data Scientist. Former Astrophysicist.
Full-stack Data Scientist with experience developing GPU-optimized machine learning tools, data analysis workflows, web app and pipelines for large-scale time-series and image processing.
- 📄 35 refereed publications, 969 citations.
- { } Python - C - C++ - HTML/CSS/JS - SQL
- 📦 JAX - TensorFlow - VueJS - SvelteKit
- ⚙️ git - GitHub CI/CD - Airflow - Docker
Experience
Freelance - Scientific Software Development
France (2025–Present)
- Developed a web platform that allow students to remotely control robotic telescopes located around the world. This includes frontend, scheduling and data processing backend.
- Currently working on astronomy-related projects.
Center for Computational Astrophysics – Research Fellow
New York City, USA (2023–2025)
- Developed a suite of models to analyze large astronomical time-series datasets (jaxoplanet), an ML algorithm to detect faint signals in time-series dominated by red noise (nuance), and a framework to efficiently model spherical surfaces (stars) (spotter). These tools are powered by JAX, optimized for GPUs/TPUs, and used in the context of Bayesian modeling, inference and machine learning applications.
- Led a high-impact scientific program with the James Webb Space Telescope, managing a team of 15 scientists.
University of Liège – Graduate Research Assistant
Belgium (2019–2023)
- Developed astronomical image processing pipelines (prose), a pattern matching algorithm for stellar asterisms (twirl), and a deep learning model to process stars images (ballet)
- Maintained and remotely operated large robotic telescopes for the SPECULOOS project. Developed a fully automated image processing pipeline running daily to transform raw data into scientific products. Built and maintained web dashboards for data analysis monitoring and visualization (40 users).
European Space Agency – Engineer
Noordwijk, Netherlands (2017–2018)
- Applied machine learning to collect data and predict costs for future space missions.
CERN – Technical Student
Geneva, Switzerland (2016–2017)
Education
PhD in Astronomy – University of LiègeBelgium (2023)
Engineering Degree in Optical Systems – Institut d'OptiqueParis, France (2017)
Master in Computer Science – University of BordeauxFrance (2017)
License in Physics – University Paris-SaclayFrance (2014)