Industry Seminar: Nathan Sanders - Montai Health / Flagship Pioneering


Thursday, December 2, 2021, 1:30pm to 2:30pm




This event will NOT be recorded.

Data Science for Computational Chemistry and Drug Discovery

Abstract - Montai Health is pioneering the field of Molecular Nutrition to protect and strengthen human health sustainably. Montai was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, funds, and develops first-in-category life sciences companies, such as Moderna Therapeutics and Syros Pharmaceuticals, through a hypothesis-driven innovation process. This talk will introduce the data science domain of chemical machine learning and its applications to drug discovery.  It will outline the modern methods in deep representation learning, transfer learning, and Bayesian probabilistic modeling that have addressed some of the fundamental experimental and computational challenges in the field.  It will also discuss roles and career paths for data scientists in the industry

Nathan Sanders is Head of Data Science at Montai Health, a Flagship Pioneering company, a science-oriented policy researcher and advocate, and an organizer in science communication.  In industry, Nathan has helped build and lead data science teams at Legendary Pictures, WarnerMedia, and Flagship, developing and applying methods in Bayesian inference, natural language processing, computer vision, and chemical machine learning. His teams have helped solve problems ranging from film casting, to digital ad targeting, to molecular property prediction.  In the policy domain, he has built applications for participatory oversight of environmental regulation that has led to new law in Massachusetts and developed statistical methods for public health analysis modeling long term trends in the rate of mass public shootings.  In science communication, Nathan is a co-founder of the astrophysical literature digest Astrobites, the multi-lingual association of graduate student science writing collaboratives ScienceBites, and the international science communication workshop series ComSciCon. At Harvard, Nathan is an Associate Editor of the Harvard Data Science Review and a Fellow at the Berkman-Klein Center for Internet & Society. Nathan did his undergraduate work in Physics and Astrophysics at Michigan State University and earned his PhD in Astronomy and Astrophysics from Harvard.