VP, Machine Learning
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.
Most recently, Roberto was VP of AI Engineering at ConcertAI. He built a strong team of machine learning and data engineers that developed an NLP-based knowledge graph for EHR ontologies, and deep learning methods for outlier detection. Prior to that, Roberto was VP of Technology at GNS Healthcare. His team was responsible for delivering GNS’s causal ML platform, called REFS. His team also worked on the development of methods to find prognostic and predictive biomarkers in gene networks using multi-omics data. Roberto started his career as one of the first employees at ArcBio, a startup in the metagenomics diagnostics space, where he created novel methods of genome compression, alignment, variant calling, and pathogen identification. As a co-founder of “Clubes de Ciencia Mexico” an organization that offers extracurricular STEM education, Roberto is helping to promote science education. The program has expanded to multiple countries in Latin America.
Roberto was a postdoctoral fellow at Princeton University where he explored theoretical chemistry methods, their limits and to make them accessible to chemists. Roberto earned a Ph.D. in chemical physics from Harvard University with his research at the interface of computational chemistry and machine learning, and a B.Sc. in chemistry from the National Autonomous University of Mexico (UNAM).