About

Geoff Boeing headshotMy CV is available here.

I am a Ph.D. Candidate in City and Regional Planning at the University of California, Berkeley. My research broadly revolves around urban data science, urban form, and complexity. This includes studying street networks, affordable housing, and the relationship between the deterministic nature of urban design and the emergent characteristics of urban form that arise out of complex systems. My research has been covered by The Washington Post, The San Francisco Chronicle, Fast Company, CityLab, Curbed, NextCity, and various other media outlets.

I am the co-lead instructor for Urban Informatics and Visualization, a graduate-level course at Berkeley that trains city planning students with a modern toolkit to collect, process, analyze, and visualize urban data for research and advocacy. It emphasizes computational statistics, data wrangling, visualization, and mapping using Python, open-source tools, and public data. I am also a grad student researcher in the UC Berkeley Urban Analytics Lab and I teach seminars and workshops at the UC Berkeley D-Lab.

I am a credentialed Project Management Professional (PMP) and worked for years as a project manager at the consulting firm Accenture, where I led several research projects both domestically and abroad. I led an international development knowledge management project to re-engineer how livelihoods information and knowledge resources are shared across cultural and geographical boundaries. I also researched and designed information discovery tools, using semantic ontologies and natural language processing. For this latter project, my co-invention received a patent.

My research and projects are on Google ScholarResearchGate, AcademiaSSRN, SocArXiv, the arXiv, and ORCID.