Hi there! I’m Chris Phan, a computer scientist, data analyst, and urbanist based in the SF Bay Area who spends my time contributing to ways to make spaces, communities and environments equitable and livable for all, especially through the lens of technology, data and research.
This past summer, I worked at Rocky Mountain Institute in Basalt, Colorado as a research associate. Using my prior transportation background, I developed a city transportation interactive model to assist with the Pune Solutions Workshop that the India Mobility Team co-hosted with NITI Aayog in October 2018. This model drew from prior work at RMI, data on India’s existing urban transportation environment, and predictions on population growth rate, transportation demand, and the evolution of urban density. This model helped target potential transportation solutions by further providing case studies of alternative transportation examples around the world, through the City Handbook , which I also researched and assisted in writing.
I’ve spent more of my time researching urbanism and global challenges in various locations, such as
In addition to my work experience, I also am in leadership for Legacy Dance, a competitive dance team, am involved in the Asian American community at Stanford University, through Listen to the Silence and Pilipino American Student Union, and have led a service learning trip through the Alternative Break @ Stanford program on housing rights in the Bay Area.
If you’re interested in talking about any of my work, feel free to email me at cxphan [at] stanford [dot] edu.