Summary
Matthew Martinez is a data scientist and applied demographer with nine years of experience applying advanced quantitative methods to questions of race, ethnicity, and educational outcomes. Currently at Meta and an adjunct professor at UT San Antonio, he combines hierarchical, spatial, Bayesian, and hazard modeling with practical engineering in R, Python, SAS, and ArcGIS to turn large, messy geo-temporal datasets into actionable insights. His work spans academia and industry—from mapping student impacts after Hurricane Harvey to geocoding historical censuses—and he regularly translates complex methods into teachable tools for graduate students. Deeply committed to social justice, he brings that perspective to research, teaching, and his creative work as a poet, making technical analysis purposeful and community-focused.
9 years of coding experience
5 years of employment as a software developer
University of Texas at San Antonio
Master of Arts (M.A.), Sociology, 4.0, Master of Arts (M.A.), Sociology, 4.0 at Baylor University