Registered user since Fri 15 Mar 2019
I’m a tenure-track Assistant Professor at Case Western Reserve University. I joined the Department of Computer and Data Sciences in Fall 2024. Before that I was a Postdoctoral Researcher at Institute for Software Research in Carnegie Mellon University, and received 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 engineering responsible AI properties. 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
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