Mar. 27 - Computational Language Analyses for Health and Psychological Discovery

Faculty member Andrew Schwartz will present "Computational Language Analyses for Health and Psychological Discovery" at 2:30p in CS 2311. 

Andrew Schwartz received his PhD in Computer Science from the University of Central Florida in 2011 with research on acquiring lexical semantic knowledge from the Web. He then joined the University of Pennsylvania where he was a Postdoctoral Research Fellow and later Visiting Assistant Professor in Computer & Information Science. He is Lead Research Scientist for the World Well-Being Project, a multidisciplinary group of computer scientists and psychologists studying physical and psychological well-being based on language in social media.

Andrew's research interests include utilizing natural language processing and machine learning techniques with a focus on large scale language analyses for health and social sciences. His current projects include include predicting and characterizing mental and physical health from one's language in social media, automatic lexicon refinement, measuring human temporal orientation and optimism, passive crowd-sourcing through apps, and algorithms for data-driven discovery of human insights.