Education & Affiliations
Aron Culotta is an Associate Professor of Computer Science at Tulane University. His research investigates computational methods to learn about human behavior from online social networks, combining machine learning, natural language processing, and social network analysis. Examples include tracking diseases, measuring effectiveness of public health campaigns, informing crisis response, preventing online harassment, detecting deceptive marketing, and identifying unsafe products. He obtained his Ph.D. in Computer Science from the University of Massachusetts, Amherst in 2008, was a Microsoft Live Labs Fellow, a Nayar Prize Finalist, and recipient of best paper awards at AAAI and CSCW. His interdisciplinary research is supported by several NSF-funded collaborations with researchers in public health, political science, marketing, and emergency management.
natural language processing; social network analysis; data science; machine learning; domain adaptation; causal inference; public health; crisis informatics