Rafael Gómez-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.

RafaelGómez-Bombarelli是麻省理工学院材料科学与工程系的丰田材料加工助理教授。他在萨拉曼卡大学获得物理化学博士学位，并在赫瑞瓦特大学，哈佛大学和Kyulux北美公司做过博士后工作。自2018年以来，他领导了一个MIT计算研究小组，该小组将机器学习应用于第一原理模拟和实验数据，以加快材料发现。他的团队致力于解决从原子结构到器件性能的逆设计问题，重点是分子材料和软物质。