I am a computer science PhD student at UCLA where I am part of the Software Evolution and Analysis Lab and advised by Miryung Kim. I also work with Violet Peng in the PLUS Lab and Quanquan Gu in the Statistical Machine Learning Lab.
My research aims at developing new techniques for training, testing, and evaluating ML systems. Previously, this has entailed devising novel adversarial attacks, investigating test metrics like neuron coverage for deep learning models, and proposing sibylvariant transformations to improve model generalization and robustness. My current projects span two distinct areas: a) building fine-grained data lineage to support the creation of automated data augmentation policies and data exploration; b) developing reference-free evaluation metrics to measure the diversity and engagingness of natural language generation systems.
PhD | Computer Science, 2023
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: