Previously, I was a research scientist at Sony AI working on explainability in AI agents. I graduated with my PhD in Electrical Engineering and Computer Science at MIT in CSAIL, where I continue as a collaborating researcher. During my PhD, I developed “Anomaly Detection through Explanations” or ADE, a self-explaining, full system monitoring architecture to detect and explain inconsistencies in autonomous vehicles. This allows machines and other complex mechanisms to be able to interpret their actions and learn from their mistakes.
My research focuses on the theories and methodologies towards monitoring, designing, and augmenting complex machines that can explain themselves for diagnosis, accountability, and liability. My long-term research vision is for self-explaining, intelligent, machines by design.
PhD in Electrial Engineering and Computer Science, 2020
Massachusetts Institute of Technology
M.S. in Computational and Mathematical Engineering, 2013
BSc in Computer Science, BSc in Mathematics, Music minor, 2011
UC San Diego
Featured talks are available as videos.
Note: This is a working list. It is inspired by my colleague. Let’s pass it along.
lgilpin @ ucsc.edu