Scholar
Toby Jia-Jun Li
Google Scholar ID: -qCUO0kAAAAJ
Assistant Professor, University of Notre Dame
Citations & Impact
Citations
3,309
H-index
28
i10-index
55
Publications
20
Co-authors
57
list available
Publications
Resume (English only)
Academic Achievements
- Published at top-tier venues including CHI, UIST, CSCW, ACL, EMNLP, MobiCom, MobiSys, ICSE, FSE, VL/HCC
- Recipient of 8 Best Paper or Best Paper Honorable Mention awards
- Best Paper Award at CSCW 2024 for “From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX”
- Received multiple NSF grants: EAGER grant for AI-powered instructional support for early childhood teachers; SaTC CORE grant for LLM-based empathy-driven privacy education
- Funded by Google Research Scholar Program, AnalytiXIN Initiative, Yahoo! InMind project, and J.P. Morgan
- 10 full papers accepted at CHI 2024 by Notre Dame HCI group, 4 co-authored by SaNDwich Lab members
- Awarded Strategic Framework Teaching Grant from Notre Dame’s Provost Office for ethical integration of generative AI in undergraduate writing education
- Collaborating with IBM Research on evaluation, metrics, and benchmarks for generative AI systems
- Received multiple awards from the Notre Dame–IBM Technology Ethics Lab
Research Experience
- Assistant Professor, Department of Computer Science and Engineering, University of Notre Dame
- Principal Investigator of SaNDwich Lab
- Director of the Human-Centered Responsible AI Lab, Lucy Family Institute for Data & Society
- Faculty Fellow, Institute for Educational Initiatives (IEI)
- Collaborated with Google, Microsoft Research, IBM Research, Adobe, Verizon, and J.P. Morgan
Background
- Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame
- Leads the SaNDwich Lab
- Director of the Human-Centered Responsible AI Lab at the Lucy Family Institute for Data & Society
- Faculty Fellow at the Institute for Educational Initiatives (IEI)
- Works at the intersection of Human-Computer Interaction (HCI), End-User Software Engineering, Machine Learning (ML), and Natural Language Processing (NLP)
- Uses human-centered methods to design, build, and study interactive systems that empower individuals to create, configure, and extend AI-powered computing systems
- Recent work addresses societal challenges in the future of work through a bottom-up human-AI collaborative approach to help workers automate and augment tasks with AI
