Roberto Olivares-Amaya

Roberto Olivares-Amaya is a leader in scientific computing with 10 years of experience at the interface of machine learning and software development for life sciences and healthcare. His experience spans computational chemistry, bioinformatics, and medical informatics. Roberto is VP of Machine Learning at LifeMine. His role is to lead the effort across the company to deploy machine learning toward the discovery of naturally sourced precision medicine.

Roberto was a postdoctoral fellow at Princeton University where he explored theoretical chemistry methods, and their limits, and made them accessible to chemists. Roberto earned a Ph.D. in chemical physics from Harvard University with his research on the interface of computational chemistry and machine learning, and a B.Sc. in chemistry from the National Autonomous University of Mexico (UNAM).