Worked on model compression and adversarial robustness before starting the Ph.D. program.
Education
Ph.D. student: Department of Computer Science at Rice University (advisor: Professor Hanjie Chen); B.S.: Department of Computer and Data Science from Case Western Reserve University (advisors: Shuai Xu and Vipin Chaudhary)
Background
Research focuses on efficient and robust machine learning, particularly in large language models (LLMs), multi-agent systems, model architecture, etc. Broadly interested in developing practical and theoretically grounded approaches to make foundation models faster, safer, and more reliable.
Miscellany
Really passionate about building open, efficient, and reliable AI systems.