Title and abstract to be announced.
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.