Martin Drieux
Visiting Reseacher at Bair - Applied Math and Machine Learning at University Of California, Berkeley
Based in Arras, France
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Seniority
Other
Department
Other
Location
Arras
Industry
Higher Education
Company size
24K
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m•••••••@berkeley.edu
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Background
About Martin Drieux
I aspire to create machine learning models that reflect the structure and complexity of the physical world, bridging data-driven learning and scientific understanding. After building a strong scientific foundation in Physics, Mathematics, and Chemistry at École Polytechnique — and earning a Silver Medal at the International Physicists' Tournament — I specialized in Applied Mathematics to bridge these fields with Machine Learning. Joining Carnegie Mellon's MS in Machine Learning (ranked #1 globally in ML) is the next step in this journey, allowing me to deepen my expertise at the interface of AI and the natural sciences. I am particularly interested in applications such as Computational Biology and Chemistry, ML-enhanced PDE modeling, and Machine Learning for Robotics.
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