Jordan Boyd-Graber
Also known as Jordan Boyd-Graber Ying
Jordan Boyd-Graber is a natural language processing researcher who studies how people and AI work together. He earned a computer science Ph.D. at Princeton in 2010 and worked on human-guided topic models at Maryland before moving to Colorado and back. His QANTA system beat Jeopardy champion Ken Jennings in 2015, and he won the 2015 Karen Spärck Jones Award from BCS and the 2017 NSF CAREER Award. He helped develop a bilingual maternal-health chatbot and studied human-computer workflows and trust in quizbowl. Since August 2026, he is a professor of natural language processing and Human–AI Collaboration at Nanyang Technological University.
- Born
- 1982
Years link to their sources.
Timeline
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2010
Degrees at Princeton and Caltech
At Caltech, he earns undergraduate degrees in history and computer science. He earns a computer science Ph.D. at Princeton in 2010, advised by Dave Blei.
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2010–2014
Human-guided topic models
From 2010 to 2014, he is an assistant professor of information studies at Maryland, with a joint appointment in UMIACS from 2011 to 2014. In April 2012, he presents a statistical model that uses human hints and suggestions to refine topic models.
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2014–2017
Colorado, QANTA and awards
From 2014 to 2017, he is an assistant professor of computer science at the University of Colorado Boulder. In 2015, he wins the Karen Spärck Jones Award from BCS, and his QANTA quiz-bowl robot beats Jeopardy champion Ken Jennings in a head-to-head match. In 2017, he receives an NSF CAREER Award for Human-Computer Cooperation for Word-by-Word Question Answering and returns to Maryland in August.
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September 2023
A bilingual health chatbot
In September 2023, he helps develop a chatbot for new mothers that answers infant and maternal health questions in English and Spanish, using information from reputable online sources such as the CDC.
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November 2025
Full professor at Maryland
In November 2025, he is a full professor at the University of Maryland.
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November 2025
Measuring human-computer workflows
In November 2025, his talk argues for measuring human-computer workflows and the performance of the combined team.
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June 2026
Trust in quizbowl collaboration
In June 2026, he studies human-AI partnerships through high-stakes quizbowl and reports that trust may matter more than intelligence. QANTA now outperforms highly skilled human competitors on many measures of raw accuracy.
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August 2026
Professor at NTU
In August 2026, he moves to Nanyang Technological University. There, he is a professor of Natural Language Processing and Human–AI Collaboration in the College of Computing & Data Science.
Career
- Since 2026Nanyang Technological UniversityProfessor of Natural Language Processing and Human–AI Collaboration
- 2014–2017University of Colorado BoulderAssistant Professor of Computer Science
- 2010–2014University of MarylandAssistant Professor of Information Studies
Education
- 2010Princeton UniversityPh.D. in computer science
- California Institute of TechnologyUndergraduate degrees in history and computer science
Sources and credits
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- Making Topics More Human(e) | MITH
- College Welcomes 15 New Faculty Members this Fall | University of Maryland
- Karen Spärck Jones Award: Past winners | BCS
- Three CU Engineering researchers earn NSF CAREER Awards | University of Colorado Boulder
- Jordan Boyd-Graber: FAQ | University of Colorado Boulder
- Boyd-Graber — NSF Institute for Trustworthy AI in Law & Society (TRAILS)
- Helpful AI Models: You can't always get what you want, but you might get what you need by Prof Jordan Boyd-Graber | College of Computing and Data Science | NTU Singapore
- Can AI and People Play Nice? | NSF Institute for Trustworthy AI in Law & Society (TRAILS)
- Jordan Boyd-Graber: FAQ
- AI Faculty | NTU College of Computing and Data Science



