Dr. Renato Umeton
Director, Artificial Intelligence Operations and Data Science Services
Dana-Farber Cancer Institute, Harvard Medical School
Renato studied computer science for both Master’s and Bachelor’s, after that he got a Ph.D. in Mathematics and Informatics defending a thesis on Optimization and Ontology for Computational and Systems Biology, which brought him to work first at Microsoft and then at MIT. Additionally, he has pursued Executive Education at Harvard to complement his existing leadership skills.
Currently Renato serves as Director of Artificial Intelligence Operations and Data Science Services in the Informatics & Analytics (http://ia.dfci.harvard.edu/about) department of Dana-Farber Cancer Institute, a teaching affiliate of Harvard Medical School. In this position, where he reports to the Chief Data and Analytics Officer, Renato created the departmental AI & data science horizontal, counting about 40 people (including temps) as of 2024. He accrued 15 years of experience across artificial intelligence, data science, and big data working in other hospitals, in academia, in consulting, and in industry, where he operated in roles spanning from postdoc to director. In those contexts, he worked on several scientific publications and patents, some of which were leveraged in clinical trials and others were licensed. As of 2024, Renato co-authored 140+ scientific publications, 6+ patent applications, and he is currently affiliated also with MIT, Harvard T.H. Chan School of Public Health, and Weill Cornell Medicine. Renato also participates in various data science industry collaborations that aim at democratizing and expanding the reach of artificial intelligence and machine learning in healthcare and digital pathology.
In addition to his main responsibilities, he is/has been: (a) reviewer for various journals by Nature Publishing Group, Cell Press, IEEE, ACM, and Oxford Press among the others, (b) invited speaker at venues ranging from a department of the US Federal Government to multiple Fortune 20 companies and numerous world-renowned academic medical centers, (c) led several ML and AI communities/conferences (e.g., medperf.org and lod2024.icas.events), (d) mentor to 50+ mentees through programs varying from bootcamp to MD-PhD degree, and (e) manager for an online ML community counting 80,000+ members world-wide.
Currently Renato serves as Director of Artificial Intelligence Operations and Data Science Services in the Informatics & Analytics (http://ia.dfci.harvard.edu/about) department of Dana-Farber Cancer Institute, a teaching affiliate of Harvard Medical School. In this position, where he reports to the Chief Data and Analytics Officer, Renato created the departmental AI & data science horizontal, counting about 40 people (including temps) as of 2024. He accrued 15 years of experience across artificial intelligence, data science, and big data working in other hospitals, in academia, in consulting, and in industry, where he operated in roles spanning from postdoc to director. In those contexts, he worked on several scientific publications and patents, some of which were leveraged in clinical trials and others were licensed. As of 2024, Renato co-authored 140+ scientific publications, 6+ patent applications, and he is currently affiliated also with MIT, Harvard T.H. Chan School of Public Health, and Weill Cornell Medicine. Renato also participates in various data science industry collaborations that aim at democratizing and expanding the reach of artificial intelligence and machine learning in healthcare and digital pathology.
In addition to his main responsibilities, he is/has been: (a) reviewer for various journals by Nature Publishing Group, Cell Press, IEEE, ACM, and Oxford Press among the others, (b) invited speaker at venues ranging from a department of the US Federal Government to multiple Fortune 20 companies and numerous world-renowned academic medical centers, (c) led several ML and AI communities/conferences (e.g., medperf.org and lod2024.icas.events), (d) mentor to 50+ mentees through programs varying from bootcamp to MD-PhD degree, and (e) manager for an online ML community counting 80,000+ members world-wide.
