Matthew Lease

Associate Professor, School of Information
Dr. Lease investigates two principal research areas: information retrieval (IR) and crowdsourcing (human computation). His IR research develops new models and algorithms to improve search engine experiences, capabilities, and evaluation methodology. His crowdsourcing research spans machine learning and human-computer interaction, including statistical quality assurance and design for human factors, to build hybrid systems integrating AI and human computation.

Research

Research Interests: 
  • Information Retrieval (IR)
  • Crowdsourcing
  • Natural Language Processing (NLP)
Research Labs & Affiliations: 

Intelligent Systems Research Group (iSchool)