Summary
Leilani Gilpin is an Assistant Professor at UC Santa Cruz with a decade of experience bridging symbolic reasoning and data-driven methods to make autonomous systems—especially vehicles—able to generate concise, human-understandable explanations for their actions. Her work blends AI, explanatory systems, computational geometry, and algorithms, drawing on a Ph.D. from MIT and research roles at SonyAI, PARC, and MIT’s Toyota-funded projects. She combines formal qualitative and semi-quantitative models with empirical data to produce interpretable symbolic explanations for complex, multi-agent systems that can include human operators. Beyond publications and academia, her background in computational geometry and early industry experience in fraud detection and intelligent systems informs practical, deployable approaches to machine understanding.
10 years of coding experience
9 years of employment as a software developer
University of California San Diego
Doctor of Philosophy (Ph.D.), EECS, Doctor of Philosophy (Ph.D.), EECS at Massachusetts Institute of Technology
San Marin High School
M.S., Computational and Mathematical Engineering, M.S., Computational and Mathematical Engineering at Stanford University
English, French, Dutch