Summary
Timmy Huynh is a Data Analyst II based in Seattle with a decade of experience applying data science and demographic methods to policy, academic, and nonprofit settings. He has worked across government labs, research centers, and NGOs—including Littler, Pew Research Center, Oak Ridge National Laboratory, UCL’s Centre for Longitudinal Studies, and UT-Austin’s Population Research Center—bringing applied social science rigor to complex data problems. Formally trained in big data, GIS, and demographic techniques, his toolkit includes advanced spatial analysis, applied sociological statistics, population data methods, and social network analysis. Timmy excels at translating longitudinal and population-scale datasets into actionable insights for research and policy stakeholders. He pairs academic training (MA, University of Chicago; further study at Penn State) with hands-on fellowship experience, making him adept at bridging methodological depth and operational analytics. Colleagues value his ability to combine technical proficiency with a nuanced understanding of social science context.
10 years of coding experience
Penn State University
MA, MA at University of Chicago
HS Diploma, HS Diploma at Texas Academy of Leadership in the Humanities
BA, BA at The University of Texas at Austin
Edward S. Marcus High School