"No Free Lunch" when using Large Language Models to Verify Self-Generated Programs
4th International Workshop on Artificial Intelligence in Software Testing, AIST 2024, Toronto, Canada, May 28, 2024, (IEEE), May 2024
[Paper]PhD Student in Computer Science
Michigan State University
My research focuses on assurance for learning-enabled safety-critical systems (e.g., autonomous vehicles).
Research Topics:
4th International Workshop on Artificial Intelligence in Software Testing, AIST 2024, Toronto, Canada, May 28, 2024, (IEEE), May 2024
[Paper]19th IEEE/ACM Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2024, Lisbon, Portugal, April 15-16, 2024, (ACM), April 2024
[Paper]ACM Transactions on Autonomous and Adaptive Systems, (ACM), March 2024
[Paper](Expected 2026)
Michigan State University
Advisor: Dr. Betty H.C. Cheng
Awards: Distinguished Engineer Fellowship Recipient
Minor in Philosophy
2018 - 2022
Purdue University
Awards: Freshman Honors Society, National Honors Society
(Summer 2025)
Meta
Facebook trust and safety team.
(August 2022 - May 2023)
Michigan State University
Researched state of the art techniques for the development and deployment of trustworthy learning-enabled autonomous systems, with focus on adaptive unmanned aerial vehicles employing object detection models.
(Summer 2022)
Ironclad
Expanded automation framework and increased regression detection for over 500,000 yearly user events via custom mobile testing suite.
(Summer 2021)
Accenture
Improved internal security infrastructure through development of data-driven Python applications, increasing security incident detection rate and minimizing response time.
(Summer 2020)
Perflo
Developed and implemented a data analytics dashboard using GraphQL API, Postgresql, and a custom React library for a B2B project-management application.