I am a Foundational AI Postdoctoral Associate at Cornell University working with Dr. Saikat Dutta.  Previously, I earned my PhD in Computer Science at The University of Texas at Dallas, advised by Dr. Wei Yang.  I received my bachelors degree in computer science at Midwestern State University, Texas in 2020.  I completed research internship as an applied scientist intern at Amazon. My research has received ACM SIGSOFT Distinguished Paper Award (ISSTA 2026). You can find my CV.

My research interests are at the intersection of Software Engineering and Artificial Intelligence. My research asks how software systems can coordinate symbolic code and learned models as two fundamentally different decision mechanisms, and how they can dynamically regulate, generate, and constrain each other to build reliable and efficient systems. I pursue this by making the interaction between software and models explicit and programmable across three layers of the stack. 

1) At the model layer,  I develop uncertainty-aware methods that make model reliability measurable and actionable, enabling software to decide when to trust a model output and when to withhold or adapt the input towards model's handling capability especially on Code-LLMs; 

2) At the runtime layer, I study the robustness of modern models’ input-dependent execution affects efficiency and how to characterize and improve worst-case cost in deployment; 

3) At the infrastructure layer,  I examine the correctness of the execution infrastructure that runs these models, using empirical bug studies and automated detection to uncover and mitigate bugs in this infrastructure. 

Together, these contributions advance a software engineering paradigm in which software governs model use and integration under explicit reliability and efficiency constraints, enabling dependable AI-enabled systems.  A detailed overview of my research can be found on the research page, and my list of publications is available in the publications page.

• Applied Scientist Intern
  Amazon.com Inc.
  Aug 2025 - Dec 2025
  Project:  A Latent Space Steering Framework for Persona-Aware LLM Dialogue Generation
  Manager: Brent Werness

• Research Assistant
  The University of Texas at Dallas
  Dec 2021 - June 2026

• Teaching Assistant
  The University of Texas at Dallas
  Jan 2021 - June 2026 

• Supplemental Instructor for CMPS 1063
  Midwestern State University, Texas
  Jan 2020- Dec 2020

• Computer Science Tutor
  Midwestern State University, Texas
  Aug 2019- Dec 2020

• Teaching Assistant
  Midwestern State University, Texas
  Jan 2019- Dec 2020