Publications: Multiple papers accepted by top conferences such as NeurIPS, ICLR, ICALP, etc.; Awards: Invited talk on 'Low Sensitivity Hopsets'.
Research Experience
Position: PhD Student; Work Experience: Conducting research at Rutgers Theory Group; Research Projects: Involves algorithm design, geometry, and trustworthy AI, among other areas.
Education
Degree: PhD Student; University: Rutgers Theory Group; Advisor: Jie Gao; Year: Fifth year; Major: Theoretical Computer Science and Machine Learning.
Background
Research Interests: Algorithm design, geometry, and trustworthy AI. Professional Field: Theoretical Computer Science and Machine Learning. Brief Introduction: Focuses on algorithm design for graph and geometry problems, as well as building the theoretical foundations of practical learning problems.
Miscellany
Personal Interests: A researcher and performer in classical music; Job Seeking: Looking for a postdoc or full-time position.