PhD student at ETH working on graph machine learning for drug design.
dragonfly_gen. De novo drug design with deep interactome learning
21lsfml. Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning
5minisci. Identifying opportunities for late-stage C-H alkylation with in silico reaction screening and high-throughput experimentation
4seqm_scoring. Combining de novo molecular design with semiempirical protein–ligand binding free energy calculation.
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