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个人简介
I’m working on Deep Learning, particularly applied to structured objects such as molecules. Most of my efforts concentrate around using ML to advance scientific discovery, in particular generating drug-like molecules, predicting molecular properties, and improving learned solutions to the electronic Schrödinger equation. Notably, our pipeline of generative and predictive models of molecules are used in-house by Novartis to speed up drug design. I also once randomly appeared at a programming languages conference.
研究兴趣
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CoRR (2023)
arXiv (Cornell University)pp.22266-22276, (2023)
International Conference on Learning Representations (ICLR) (2022)
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