George Dasoulas
Senior ML Research Scientist at Harvard University
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolGeorge Dasoulas is a machine learning research scientist with a decade of experience specializing in multimodal learning, geometric deep learning, and generative AI applied to AI for Science and biomedical problems. He has transitioned from foundational research at Huawei's Noah’s Ark Lab through an academic postdoc at Harvard to industry roles driving graph-based foundation models for drug discovery at MSD and Isomorphic Labs. George excels at modeling irregular dependencies across modalities and scaling biologically informed architectures for target identification and therapeutic innovation. His blend of academic rigor (PhD from École Polytechnique and a Harvard postdoc) and industry impact positions him to translate graph generative methods into real-world healthcare solutions. Notably, he pairs theoretical work on structured data with practical experience building production-ready ML systems for complex biological and public health datasets.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at École PolytechniqueMaster's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at National Technical University of Athens
Greek, English, German, French
Github Skills (17)
medicine10
biology9
datasets9
bioinformatics9
chemistry9
drug-discovery8
cheminformatics8
foundation7
artificial-intelligence7
commons7
machine-learning7
deep-learning7
science7
version-control6
react5
Programming languages (1)
Github contributions (5)
gdasoulas/gdasoulas.github.io
Jan 2021 - Jul 2022
Contributions:43 pushes in 1 year 6 months
gdasoulas/Pattern_Matching
Oct 2016 - Jan 2017
Contributions:44 pushes, 1 branch in 2 months
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