Tamara Glazer is a data and applied scientist with seven years of experience building predictive analytics and visualization solutions for international development, public policy, and humanitarian programs. Currently at Microsoft’s AI for Good Research Lab, she applies machine learning and statistical modeling to partner projects across health, disaster response, accessibility, and broadband access. Her background spans competitive data science at DrivenData, hands-on survey evaluation in USAID-funded programs, and client-facing analytics work at Tableau, giving her both rigorous technical skills and practical deployment experience. Tamara combines policy training from Princeton and an MS in Computational Analysis and Public Policy with a knack for turning messy field data into actionable models that improve community resilience. She’s notable for bridging academic rigor, product-focused consulting, and mission-driven AI—often surfacing insights that directly inform program design and operational response.
7 years of coding experience
7 years of employment as a software developer
Semester Exchange, Education Reform & Democratization, Semester Exchange, Education Reform & Democratization at University of Cape Town
Master of Science - MS, Computational Analysis and Public Policy, Master of Science - MS, Computational Analysis and Public Policy at University of Chicago
Bachelor of Arts (B.A.), Politics (Magna cum laude) & Certificate in African Studies, Bachelor of Arts (B.A.), Politics (Magna cum laude) & Certificate in African Studies at Princeton University
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Tamara Glazer - Data & Applied Scientist II - AI For Good