Registered user since Fri 15 Mar 2019
I am a Postdoctoral Researcher at Institute for Software Research (ISR), Carnegie Mellon University. My research interest lies in the intersection of Software Engineering (SE) and Artificial Intelligence (AI). With a particular focus on the SE for AI area, I improved algorithmic fairness and safety of ML-enabled software. My prior works proposed fairness verification and causal analysis techniques for ML models. I also worked on large-scale mining and program analysis techniques for ML software. My recent works identified a new set of technical debts in open-source ML programs and their impacts on LLMs. Currently, I am working of long-term safety of ML-enabled systems and making them more sustainable.
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