Research Scientist, Google Research
With deep learning techniques and large datasets, we have ways of transforming molecules into vectors with meaningful qualities for chemistry. How do we design operations that are useful for specific chemical contexts? In this talk, Benjamin Sanchez-Lengeling will showcase part of his work on using machine learning, specifically graph neural networks, to build maps of olfaction and chemical structure. And then using these tools to drive scientific discoveries.
Benjamin Sanchez-Lengeling is a research scientist at Google Research on the Brain Team working at the intersection of molecules and AI. His research centers on using and improving computational tools for molecular discoveries, striving to make them real, for molecules of all sizes: small, large (proteins) and periodic (polymers); in application areas that include solar cells, solubility, drug-design, and olfaction. He cares about interpretability for scientific discoveries and making research clear and approachable. Besides research, he is also passionate about science education and divulgation. Benjamin is one of the founders and organizers of a STEM-education NGO Clubes de Ciencia Mexico and a LatinX-centered AI conference RIIAA.
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