Team

Tianhao Li is a graduate student at Duke University. His research aims to evaluating and enhancing the safety and privacy of generative foundation models and agentic systems, particularly in real-world applications such as healthcare and science. He received a B.Eng. in Information Security in 2024 from North China University of Technology and worked as a Security Researcher (AI Red Teaming) at NSFOCUS and TOPSEC. He has served as a journal referee for ACM TIST, IEEE TAI, IEEE TBME, ESWA, and EAAI; and a Program Committee Member for ARR, AAAI, and IJCAI. He also contribute to the MLCommons AI Risk & Reliability (AIRR) Working Group, and the NVIDIA's widely recognized open-source project NVIDIA/garak. In early 2025, he founded 501(c)(3) non-profit organization Special Interest Group in Modern Interdisciplinary Research (SIGMIR), served as head of research and researcher, built its core team, and led its early operations and strategic development.

Chuangxin Chu is a researcher and graduate student in Electrical and Electronic Engineering at Nanyang Technological University, Singapore. He holds a Bachelor's degree with honours in Software Engineering from University College Dublin, Ireland. He has worked at the AI Agent Research Institute of Continental (Fortune Global 500) and as a post-training reinforcement learning researcher at Baidu, where he focused on replicating and extending cross-domain generalization GRPO algorithms. His research centers on AI security and large model security, aiming to enhance the robustness and trustworthiness of advanced AI systems.

Yujia Zheng is a graduate student at Duke University specializing in Trustworthy Artificial Intelligence. She holds a Bachelor of Engineering in Information Security. Her research focuses on adversarial robustness, with project experience spanning natural language processing, VR/AR/XR, and biomedical AI. She previously served as a research intern at the Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, contributing to publications at venues including ICLR, EMNLP, AAAI, AAPM, and ASTRO. Yujia is also a reviewer for AAAI, CHI, and COLING. She has received multiple national-level awards in security, mathematical modeling, and digital media.