Summary
Benjamin Batorsky is a Responsible AI lead and data scientist with a decade of cross-sector experience applying machine learning, experimental design, and signal extraction to public health, policy, marketing, and infrastructure problems. He blends a humanities background in English and history with advanced training in public health and policy analysis (MPH, PhD), which shapes a curiosity-driven approach to asking better questions of messy, multimodal data. Benjamin has led and built engineering and science teams in academic, public, and private settings—from city government and RAND to MIT Sloan and Philips—focusing on product-oriented workflows that translate research into measurable impact. He thrives on scoping new data requirements and making progress on ambitious problems with limited resources, and brings an unusual storytelling sensibility to model development and responsible AI practice.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Policy Analysis, Doctor of Philosophy (PhD), Policy Analysis at RAND School of Public Policy
Master of Public Health (MPH), Public Health, Master of Public Health (MPH), Public Health at Johns Hopkins Bloomberg School of Public Health
Bachelor of Arts (B.A.), English and History, Bachelor of Arts (B.A.), English and History at Rutgers University