About

Jordan Boyd-Graber is a professor in the Department of Computer Science at the University of Maryland, affiliated with UMIACS. He holds a Ph.D. from Princeton University, obtained in 2010, and a B.S. from the California Institute of Technology in 2004. His research areas include artificial intelligence and robotics, information retrieval and geographic information systems (GIS), machine learning and data science, and natural language processing. His interests focus on machine learning, computational linguistics, and topic modeling. He advises several Ph.D. students and has been involved in research projects related to automated topic modeling evaluations and natural language processing applications.

Research topics

• Chemistry
• Nanotechnology
• Materials science
• Computer science
• Combinatorial chemistry

Frequent coauthors

• William E. Bentley

  University of Maryland, College Park

  94 shared

• Eunkyoung Kim

  67 shared

• Gregory F. Payne

  58 shared

• Gregory F. Payne

  Institute for Bioscience and Biotechnology Research

  56 shared

• Christopher K. Surratt

  Long Island University

  36 shared

• Jonathan L. Katz

  Office of Extramural Research

  36 shared

• Amy Hauck Newman

  National Institute on Drug Abuse

  36 shared

• David M. Donovan

  Morgan State University

  36 shared

Labs

• CLIP LabPI

Awards & honors

• Philip Merrill Presidential Scholar (2021)

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