Expertise
Natural Language Processing, Machine Learning
Research Interests
natural language processing, machine learning, clinical/medical informatics, computational social science.
text-based temporal reasoning, conversational agents, computational lexical semantics, distributional analysis and machine learning techniques for representing lexical and sentence-level meaning, argument mining, digital knowledge and sentiment tracking for computational social science.
Education
- Postdoc: Computer Science and Artificial Intelligence, (2012), Massachusetts Institute of Technology - Cambridge, MA
Supporting Area: Medical Natural Language Processing - Ph D: Computer Science, (2009), Brandeis University - Waltham, MA
Selected Contracts, Fellowships, Grants and Sponsored Research
- It's Fun to Run – or is it Just a Pun? Detecting Signs of Enjoyment with Physical Activity and Food Choices through Computational Analysis of Figurative Language in Online Communication (2018), Grant - UMass Lowell
Kronrod, A. (Co-Principal), Rumshisky, A. (Co-Principal), Thind, H.K. (Co-Investigator), Mangano, K. (Co-Investigator)