Abstract
Rafael Gomez-Bombarelli is the Toyota Assistant Professor in Materials Processing in the Department of Materials Science and Engineering at MIT. He received a PhD in physical chemistry from the Universidad de Salamanca and did postdoctoral work at Heriot-Watt University, Harvard University, and Kyulux North America Inc. Since 2018, he has led an MIT computational research group that uses machine learning on first-principle simulations and experimental data to accelerate materials discovery. His team focuses on addressing the inverse design question from atomistic structure to device performance with an emphasis on molecular materials and soft matter.
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