Nathan Sanders is a data scientist focused on creating open technology to help vulnerable communities and all stakeholders participate in the analysis and development of public policy.
Nathan has helped build and lead data science teams in industry at Legendary Pictures, WarnerMedia, and Flagship Pioneering, developing and applying methods in Bayesian inference, natural language processing, computer vision, and deep learning. In the policy domain, he has built open source applications for participatory oversight of environmental regulation in collaboration with the Mystic River Watershed Association in Massachusetts; developed statistical methods for public health analysis modeling long term trends in the rate of mass public shootings; and served as a science policy fellow in the Massachusetts Senate and House of Representative.
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.
He serves on the Board of Directors of the American Institute of Physics and is an Associate Editor of the Harvard Data Science Review.
Nathan did his undergraduate work in Physics and Astrophysics at Michigan State University and earned his PhD in Astronomy and Astrophysics from Harvard University.