Lyle Ungar
Scholar

Lyle Ungar

Google Scholar ID: KCiDjbkAAAAJ
University of Pennsylvania
machine learningcomputational linguisticscomputational social science
Citations & Impact
All-time
Citations
23,155
 
H-index
76
 
i10-index
274
 
Publications
20
 
Co-authors
109
list available
Resume (English only)
Academic Achievements
  • Publications can be found on Google Scholar, Pubmed, and DBLP.
Research Experience
  • Professor of Computer and Information Science at the University of Pennsylvania, with faculty positions in multiple graduate groups including Bioengineering, Genomics and Computational Biology (School of Medicine), Operations, Information and Decisions (Wharton School), Psychology (School of Arts and Sciences). Involved in several research centers like the Annenberg Public Policy Center, Center for Cognitive Neuroscience, Center for Pharmacoepidemiology Research and Training, Institute for Translational Medicine, Penn Positive Psychology Center.
Background
  • Research interests include natural language processing and explainable AI for psychological and medical research, such as analyzing social media to better understand the drivers of physical and mental well-being and building socio-emotionally sensitive AI-based tutors and coaches. Research areas also include word use, personality and well-being, explainable AI, spectral methods for modeling language, NLP and Word Sense Disambiguation, forecasting, prediction markets, bibliometrics, bioinformatics, machine learning and data mining, etc.
Miscellany
  • Personal interest: Philadelphia restaurants