About me

I am a second-year PhD student at North Carolina State University, advised by Dr. Tim Menzies. My research focuses on software testing with the goal of making software systems more reliable. Currently, I am developing fuzzing techniques for machine learning model compilers, targeting optimization pipelines in systems such as TorchInductor and OpenXLA/XLA.

Prior to starting my PhD at NC State, I earned my M.S. from KAIST under the supervision of Prof. Doo-Hwan Bae. My research interests lie in software testing, fault diagnosis, software reliability, cyber-physical systems, and safety-critical systems. During my master’s, I developed mutation-based test generation techniques for nuclear power plant software using SMT solvers. For more details, see the publications section.

News

• 🎉 Our paper Learning Compiler Fuzzing Mutators from Historical Bugs has been accepted to MSR 2026.