Mike Reilly
Senior Data Scientist And Technical Manager
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMike Reilly is a senior data scientist and technical manager who blends 20 years of urban planning and academic experience with 11 years focused on applied data science for housing, land use, and transportation policy. He builds and scales policy-facing modeling tools—most recently leading enhancements to the Terner Housing Policy Simulator and Bay Area UrbanSim—to translate complex regional economic, demographic, and real estate dynamics into actionable insights for policymakers. Mike has led interdisciplinary teams across government, consulting, and research institutions, delivering large forecasting and feasibility projects for clients like FHWA, SCAG, and Stanford. His work uniquely connects development feasibility modeling with observed development outcomes and travel behavior, bridging microeconomic modeling, spatial analysis, and discrete choice methods. A trained planner with advanced coursework in machine learning and spatial statistics from Stanford and an MIT certificate in applied data science, he combines rigorous academic methods with pragmatic, stakeholder-facing tools. Based in San Francisco, he often pairs deep technical modeling with clear communication to advocates and decision-makers, and maintains an independent consultancy that supports major regional and national clients.
11 years of coding experience
4 years of employment as a software developer
PhD City and Regional Planning, PhD City and Regional Planning at University of California, BerkeleyMCP, MCP at UC Berkeley College of Environmental DesignFlintridge Preparatory SchoolAB Liberal Arts, AB Liberal Arts at UC Berkeley College of Letters & ScienceEarth Institute Fellow, Earth Institute Fellow at Columbia Universitygrad courses: Statistical Learning, Agent-Based Modeling, Geostatistics, High Performance Computing, grad courses: Statistical Learning, Agent-Based Modeling, Geostatistics, High Performance Computing at Stanford University
Japanese
Github Skills (20)
crossword10
simulation10
san10
data-science10
orientdb10
jstree10
modeling10
wps7
geotools7
geoserver7
geography7
geo7
shapefile6
gis6
wfs6
Programming languages (2)
Github contributions (5)
BayAreaMetro/regional_forecast
Mar 2020 - Sep 2023
Bay Area's Regional Forecast and Housing Analysis
Contributions:165 pushes in 3 years 6 months
mkreilly/mapcraft_eg
Aug 2017 - Oct 2019
This repository contains a proof of concept mapping application (it was the Bay Area Urban Geodatabase but that will be in a new repos again called petrale)
Contributions:236 pushes, 1 comment, 1 issue in 2 years 3 months
spatialbaysystem-informationbay-area
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