Antonio Moretti is a Faculty Fellow in Barnard College’s Computer Science Department with nine years of cross-industry experience bridging rigorous academic research and applied data science. He earned a PhD in Computer Science from Columbia, an MS in Statistics from CUNY, and a BA from Carnegie Mellon, and has developed approximate Bayesian inference methods for scientific problems with publications and patents documented on his Google Scholar and webpage. Antonio has held senior data science roles in industry, including Senior Data Scientist at Walmart Labs and VP of Data Science at Roc360, where he translated probabilistic modeling into production insights. His background spans education and research—from SAT instruction to graduate research—giving him a rare combination of teaching, mentorship, and technical leadership. Colleagues describe him as steady and pragmatic (his GitHub bio reads “Takin it one day at a time ; )”), reflecting an approach that balances long-term research rigor with day-to-day delivery. Based in New York, he focuses on bringing principled Bayesian methods to real-world systems and teams.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Columbia University in the City of New York
Master of Science - MS, Statistics, Master of Science - MS, Statistics at City University of New York
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Antonio Moretti - Faculty Fellow at Barnard College