About Me

I am a Ph.D. student in Computer Science at Washington State University, where I am fortunate to be advised by Prof. Jana Doppa. My general research interests are in Machine Learning (ML) and Artificial Intelligence (AI), with a main focus on developing robust, safe, and trustworthy deep learning algorithms and theoretical frameworks for addressing critical real-world challenges within safety-sensitive domains. My current work focuses on:

  • Adapting calibration-based uncertainty quantification methods, like Conformal Prediction, to facilitate effective and secure human-ML collaboration.
  • Developing Trustworthy Out-of-Distribution (OOD) Detection methods to ensure the reliability of ML models deployed in real-world applications.

Education

Latest Updates

  • Nov., 2024 - Passed my Ph.D. Qualifying Examination!
  • April, 2024 - 🏅 Outstanding Graduate Teaching Assistant in EECS Award, VCEA.