Summary
Elisa Luo is a PhD student in Computer Science and Engineering at UC San Diego who researches large-scale empirical studies of cybercrime, online privacy, and security under Professors Stefan Savage and Geoff Voelker. With nine years of hands-on experience spanning data-driven security research, ML engineering, and backend systems, she has shipped production features at Meta and deployed ML classifiers at Barracuda that proactively caught previously undetected fraudulent emails. A Columbia Engineering magna cum laude graduate, Elisa blends big-data tooling (Apache Spark, PrestoSQL) with practical systems work (VMs, Docker, Hack/PHP) and has contributed to projects presented at top security venues. She has a track record of turning research into operational impact—winning Columbia DSI awards and contributing to publications—while mentoring students through teaching assistant roles in systems and networking. Notably, her background bridges enterprise phishing analysis, cryptocurrency tracing for financial fraud, and experimental ML ranking pipelines, giving her a rare cross-section of research rigor and production engineering.
9 years of coding experience
3 years of employment as a software developer
University of California, San Diego
High School Diploma, High School Diploma at Crofton House School
Bachelor of Science - BS; Magna Cum Laude, Computer Science, Bachelor of Science - BS; Magna Cum Laude, Computer Science at Columbia Engineering