Published numerous papers, including HADES: Range-Filtered Private Aggregation on Public Data, ThreatKG: An AI-Powered System for Automated Open-Source Cyber Threat Intelligence Gathering and Management, and more. Received the JP Morgan Chase PhD Fellowship 2023.
Research Experience
Involved in multiple research projects including the AgentCTF Competition and CoLink project, and has presented at several international conferences.
Education
Currently a Ph.D. student in the EECS department at UC Berkeley, advised by Professor Dawn Song. Before joining UC Berkeley, he received his bachelor’s degree from the ACM Honors Class at Shanghai Jiao Tong University.
Background
Broadly interested in computer security, systems, and machine learning, especially building systems that enable secure and privacy-preserving data processing or solve real-world security problems. He is a member of the Berkeley Center for Responsible, Decentralized Intelligence (RDI), Initiative for Cryptocurrencies & Contracts Lab (IC3), and Berkeley Artificial Intelligence Research (BAIR) Lab.