H. Andrew Schwartz

H. Andrew Schwartz is an Assistant Professor at Stony Brook University's Department of Computer Science. His research bridges computational social science, natural language processing, and psychological discovery, focusing on social media language analysis for health and demographic insights.

• Education: PhD in Computer Science (2011) from the University of Central Florida
• Past Affiliations: Postdoctoral Research Fellow and Visiting Assistant Professor at University of Pennsylvania's Computer & Information Science department
• Current Role: Lead Research Scientist for the World Well-Being Project, a multidisciplinary collaboration between computer scientists and psychologists

Dr. Schwartz's research utilizes machine learning to analyze large-scale social media data for mental and physical health prediction, automatic lexicon refinement, and measuring human temporal orientation. His work has been recognized by Almetric's top 25 most discussed research papers in 2013.

Recent publications examine psychological state detection through NLP, including PTSD analysis, mental health screening algorithms, and LLM adaptation for personality modeling. He develops methodologies like adaptive question-asking systems and self-supervised learning frameworks for behavioral analysis.

Key scientific contributions include:

• Developing the WWBP-SQT-lite system for identifying mental health change moments
• Creating AlBA (Adaptive Language-Based Assessments) for mental health evaluation
• Advancing temporal analysis of social media language for health informatics