Toby Jia-Jun Li

schoolCarnegie Mellon Universitybar_chart#2027 Global Rank
Total Papers
6
HCI Rank
#2027
Research Areas
3
Years Active
4

Personal Information

  • KeywordsHuman-Computer Interaction (HCI)AI CollaborationEnd-User ProgrammingMachine Learning (ML)Natural Language Processing (NLP)
  • OrganizationUniversity of Notre Dame
  • Education (Institution)Carnegie Mellon University
  • Emailtoby.j.li@nd.edu

Social Media & Links

Biography

Toby Jia-Jun Li is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame, where he leads the SaNDwich Lab and the Human-Centered Responsible AI Lab. His research lies at the intersection of Human-Computer Interaction (HCI), end-user software engineering, Machine Learning (ML), and Natural Language Processing (NLP). He focuses on empowering individuals to create, configure, and scale AI-driven computational systems through the design and study of interactive systems. His recent work explores human-AI collaboration methods to help individual workers automate and enhance work tasks, addressing societal challenges in the future of work. Toby has authored numerous papers in top-tier conferences in HCI, NLP, and systems, receiving 8 Best Paper or Honorable Mention awards. He has also collaborated with organizations such as Google, Microsoft Research, and IBM and has secured funding from sources including NSF and the Google Research Scholar Program.

Work Experience

  • 2021–Present·University of Notre Dame·Assistant Professor
    • Leads the SaNDwich Lab, focusing on research in Human-Centered Responsible AI.
  • 2017–2018·Microsoft Research·Intern
    • Conducted research on multimodal interaction and user experience.

Education

  • 2015–2021·Carnegie Mellon University·Ph.D.
    • Area: Human-Computer Interaction (HCI), advised by Brad A. Myers.
  • 2011–2015·University of Minnesota·B.S.
    • Major: Computer Science, conducted research with the GroupLens research group.

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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