Justin Li's research in how both people and AI are able to retrieve the right knowledge at the right time, and is also interested in computing as a force multiplier in inter-disciplinary research.
Research
My research is broadly on the strategies that people and artificial agents might use in their search for knowledge during problem solving, from indicators that more knowledge is needed, to strategies for acquiring that knowledge, to the mechanisms, algorithms, and representations of knowledge for efficient retrieval.
Select Recent Publications (* indicates undergraduate co-author)
- *Lily Gebhart and Justin Li (2025). Exploring Integrated Co-occurrence and Semantic Mechanisms for Long Term Memory Retrieval. Proceedings of the 23rd International Conference on Cognitive Modeling (ICCM).
- Julie Prebel and Justin Li (2024). Multifaceted Equity: Critiquing a First-Year Writing Assessment through Curricular, Performance, and Reliability Lenses. Journal of Writing Assessment, 17(2).
- Justin Li, Steven Jones, and John E. Laird (2023). A Rational Analysis and Computational Modeling Perspective on IAM and Déjà Vu. Commentary on Barzykowski and Moulin (2023), Are involuntary autobiographical memory and déjà vu natural products of memory retrieval? Behavioral and Brain Sciences, 46.
Office Hours (Fall 2025)
I hold office hours during regular class days, and they are in my office (Swan B102) by default. If you would prefer to meet on Zoom instead, please email me for a link to the meeting room.
- Mondays 1:15-2:15pm (Pacific Time)
- Wednesdays 3:15-4:15pm (Pacific Time)
- Thursdays 5-6pm (Pacific Time)
- By appointment
My office (Swan B102) is slightly hard to find. The easiest way to my office is to enter Swan Hall from the quad via the door closest to JSC/Marketplace, then go all the way down the stairs. If you need to avoid stairs/steps, stay outside and go around Swan counter-clockwise; you will eventually end up by the running track of Jack Kemp Stadium/Peterson Field, and can re-enter Swan from the door at the far end.
Advising Tools
- Subitize is a wrapper around Course Counts to provide advanced search functions.
- A Google Sheet to help with graduation planning.