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Riccardo De Santi is a PhD student at ETH AI Center researching decision making under uncertainty with applications in scientific discovery.
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ActFlow trains diffusion models to explore 6× more valid molecular designs
arXivpositiveAug 28, 2026
“Co-author of ActFlow paper on training diffusion models for molecular design discovery.”