
Registered user since Fri 15 Mar 2019
I’m a tenure-track Assistant Professor at Case Western Reserve University. Before coming to Case, I was a Postdoctoral Researcher at the Institute for Software Research in Carnegie Mellon University, and received a Ph.D. in Computer Science from Iowa State University. For my dissertation, I worked on verifying and reasoning algorithmic fairness in ML pipeline.
My research interests are broadly at the intersection of Software Engineering (SE) and AI, focusing on responsible AI engineering. With a particular focus on the SE for AI area, I improved algorithmic fairness and safety of ML-enabled software. I also built large-scale mining and program analysis techniques for ML software. Some of my recent works explored ML technical debts in open-source and their impacts on code-generative LLMs.
Contributions
2025
2024
ICSE
- Committee Member in Research Track within the Research Track-track
- Author of Artifact for "Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot" within the Artifact Evaluation-track
- Author of Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot within the Research Track-track
2023
ASE
ICSE
- Author of Fairify: Fairness Verification of Neural Networks within the Technical Track-track
- Author of Towards Understanding Fairness and its Composition in Ensemble Machine Learning within the Technical Track-track
- Committee Member in Onsite Judges within the SRC - ACM Student Research Competition-track
- Author of Replication Package of the ICSE 2023 Paper Entitled "Fairify: Fairness Verification of Neural Networks" within the Artifact Evaluation-track
- Committee Member in ACM Student Research Competition within the SRC - ACM Student Research Competition-track
- Mentor in Mentors within the SMeW - Student Mentoring Workshop-track
- Author of Artifact for the ICSE 2023 Paper Entitled "Towards Understanding Fairness and its Composition in Ensemble Machine Learning" within the Artifact Evaluation-track