I completed my PhD in Computer Science at UCLA! The main focus of my work was in tackling a big challenge in AI: how do we really know if an AI system is reliable, useful, and trustworthy? I explored new ways to evaluate them, looking closely at everything from data diversity, quality, and provenance to how people truly experience AI-generated work.
I was fortunate to be advised by Prof. Miryung Kim and to collaborate with incredible mentors like Prof. Nanyun (Violet) Peng (PLUS Lab), Prof. Quanquan Gu (Statistical ML Lab), and Prof. Amit Sahai.
During my PhD, I got to dive into some fascinating areas:
All this directly inspired what I’m doing now: founding Kairno! We’re using advanced AI to automate and elevate the research review process. Our goal is to critique the meat of your work and provide actionable feedback accessible to everyone doing scientific work. If this mission excites you or you’d like to collaborate, I’d love to connect!
PhD | Computer Science, 2025
University of California, Los Angeles
MS | Computer Science, 2019
University of California, Los Angeles
BS | Information Systems, 2012
University of Florida
Designed and successfully launched a smarter insurance app by building, motivating, and guiding a team of 23
Contributed 100s of check-ins, primarily consisting of C# Web APIs and database tables, triggers, sprocs, and T-SQL scripts
Designed and implemented a 3-system legacy data migration
Responsible for producing, coordinating and reviewing nearly every aspect of the SDLC: