Summary
Jan Zilinsky is a postdoctoral researcher and lecturer at TUM who designs large-scale, multi-country surveys and experiments to study how digital technologies shape political behavior, misinformation, and perceptions of online risk. With 11 years of research experience spanning NYU, MIT, Harvard, and policy institutes, his work on AI governance, platform regulation, and inequality has informed debates in academia and press outlets like The Economist and The Atlantic and been cited in 1000+ peer-reviewed papers. He teaches and built multiple popular Master’s courses in Technology and Politics, supervises theses and internships, and partners with think tanks to translate research into policy-relevant insights. Beyond surveys, he audits political outputs of leading large language models, blending experimental rigor with hands-on evaluation of AI systems.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Political Science and Government, Doctor of Philosophy - PhD, Political Science and Government at New York University
UWC Atlantic College
Master of Business Administration (MBA), Economics, Master of Business Administration (MBA), Economics at The University of Chicago Booth School of Business
Bachelor of Arts (BA), Economics, Bachelor of Arts (BA), Economics at Harvard College
Behavioral Finance Summer School, Behavioral Finance Summer School at Yale University
Summer course, Summer course at London School of Economics and Political Science