Antonio Moretti is a Roman Family Teaching and Research Fellow at Barnard College. His research interests are in data science and algorithms, including applications to biology. He also has extensive experience with industry applications of machine learning and data science. He has developed a number of Bayesian inference methodologies for open problems in computational biology. To address these questions, his research has focused on the development of expressive statistical methodologies along with tractable inference algorithms for fast approximate inference on structured sequential data.
Antonio completed a PhD in the Computer Science Department at Columbia University. Prior to joining Barnard, he was Vice President of Data Science at Roc Capital, a digital financial services platform. Before this, he worked on the search algorithm team at Walmart Global Tech using machine learning to improve customer experience.
Sarah Morrison-Smith and Adam Poliak were awarded an unrestricted gift from Google’s explore CSR initiative to launch a program called “Barnard BEARS: Better, Enhance, and Advance Research Series.” Barnard BEARS is a workshop preparing Barnard undergraduates for opportunities in computer science research.
Read about the latest grant accomplishments from the Barnard community.