Summary
Alessandro Vecchiato is a research scientist with 11 years of experience studying the political and economic effects of media, misinformation, and algorithmic news feeds using NLP, machine learning, and causal inference. Currently on Meta’s Civil Rights team after a postdoctoral stint at Stanford’s Cyber Policy Center, he blends rigorous academic training (PhD in Political Economy) with product-facing research at scale. His work ranges from analyzing ~20,000 hours of Italian TV broadcasts and a ~2M-row SQL database to developing bespoke apps for studying feed design and individual behavior online. He has supported investigative journalism at The New Yorker and contributed policy-relevant modeling at the European Commission, reflecting a rare mix of field research, experimental design, and policy sensitivity. Colleagues know him for translating complex causal questions into reproducible data tools that inform both platform design and public debate.
11 years of coding experience
9 years of employment as a software developer
Master of Science, Economics and Social Sciences (DES), Summa Cum Laude, Master of Science, Economics and Social Sciences (DES), Summa Cum Laude at Università Commerciale 'Luigi Bocconi'
Master of Arts - MA, Business/Managerial Economics, Master of Arts - MA, Business/Managerial Economics at UCLA Anderson School of Management
Doctor of Philosophy - PhD, Political Economy, Doctor of Philosophy - PhD, Political Economy at New York University
Bachelor, Economics, Summa Cum Laude, Bachelor, Economics, Summa Cum Laude at Università Ca' Foscari Venezia
Summer School, Economics, Summer School, Economics at Harvard University