
About
Morgan Fouesneau is an Astrophysicist and Senior Data Scientist at the Max Planck Institute for Astronomy (MPIA), holding a tenure position since 2021. He leads the Astronomy Data Science Department, focusing on advancing data-driven approaches in astrophysics. His roles include supporting cutting-edge research, developing foundational coding skills, and fostering collaborations in data science.
Education:
- PhD in Astrophysics, University of Strasbourg (2010)
- Master's in Astrophysics, University of Strasbourg (2007)
- Engineer degree in Fundamental Physics, Télécom Physique Strasbourg (2007)
Research Interests: Fouesneau's work bridges astrophysics and data science, emphasizing large-scale data analysis (terabyte datasets), machine learning applications, and probabilistic modeling. Key areas include star formation in galaxies, Galactic structure, and cosmological context through chemical patterns. He contributes to major projects like Gaia and 4MOST, leading software development and parameter estimation.
Recent Projects:
- Validation of Gaia astrophysical parameters (CU8 team)
- 4MOST classification pipeline development (4CP)
- Bayesian Extinction and Stellar Tool (BEAST)
Labs/Teams: Part of the Data Science Group at MPIA, contributing to interdisciplinary collaborations in nuclear physics, solar weather, and organic solar cell modeling.
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