Hi there,
Thanks for stopping by! My name is Madison Coots and I am a second year Ph.D. student in Public Policy at the Harvard Kennedy School of Government and a Stone Ph.D. Scholar in Inequality and Wealth Concentration. I am also an affiliated researcher at the Stanford Computational Policy Lab. My research interests lie in computational approaches to public policy and decision-making, with applications in criminal justice reform and healthcare.
Outside of academics, I am a senior data scientist at STR. Previously, I've worked as a data scientist in academia and in the public sector. I also have experience working in the energy and utilities sector as a part-time data science and risk consultant with Aerospace Technical Services. Before beginning my Ph.D., I studied computer science (M.S.), management science and engineering (B.S.), and English literature (minor) at Stanford.
Harvard University
Public Policy, Ph.D.
Stanford University, Class of 2021
Computer Science, M.S.
Stanford University, Class of 2019
Management Science and Engineering, B.S.
English, Minor
Systems & Technology Research
Senior Data Scientist, 2023-Present
Stanford Computational Policy Lab
Data Scientist, 2020-2022
Aerospace Technical Services
Data and Risk Consultant, 2020-Present
Technical Founder and Head of Data Science, 2017-Present
United States Government
Data Science Graduate Fellow, Summer 2020
Data Science Graduate Fellow, Summer 2019
Data Science Intern, Summer 2018
Data Science Intern, Summer 2017
Systems Engineering Intern, Summer 2017
Stanford MS&E Department
Course Assistant, MS&E 252: Decision Analysis I, Fall 2019
Course Assistant, MS&E 125: Applied Statistics, Winter 2020
Stanford Code In Place
Volunteer Section Leader, Spring 2020
Stanford Athletic Department
Manager, Men's Volleyball, 2015-2020
Stanford Center for Spatial and Textual Analysis
Research Assistant, Mapping Old Regimes of Movement, 2016-2018
Research Assistant, Early Modern Mobility: Breton Corvee, 2018