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Invited talk
in
Workshop: Generative AI and Biology (GenBio@NeurIPS2023)

Geometric deep learning for protein understanding

Jian Tang


Abstract:

I am currently an associate professor at HEC Montreal and Mila. Prior to that, I was a Postdoc at University of Michigan and Carnegie Mellon University. I also worked at Microsoft Research Asia as an associate researcher between 2014-2016.

Research Interests: Geometric Deep Learning, Graph Neural Networks, Knowledge Graphs, Deep Generative Models, AI for Drug Discovery (Molecule/Protein Design)

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