Matthieu is a Senior Machine Learning Scientist at Genentech in New York, specializing in drug discovery through generative and predictive models. Holding a PhD from Sorbonne Université and Masters degrees from Mines Paris and ENS Paris-Saclay, his research background focuses on out-of-distribution generalization in deep learning.
He currently lives in the New York City area, having relocated to the USA to join Genentech after completing his doctorate in France. Publicly available information centers on his extensive academic and professional achievements, with few details available regarding personal hobbies outside of his scientific pursuits.
His recent work, presented at NeurIPS 2024, pioneers a new method for generating molecules in 3D space using neural fields, a technique from 3D Computer Vision.
Read the full overview →They don’t appreciate bells and whistles unless backed by data. They prefer to do logical analysis and value evidence over emotions. They are quite likely to negotiate on pricing or other key terms.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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