Shichang Zhang is an Assistant Professor in the Department of Information Systems at the W. P. Carey School of Business, Arizona State University. Previously, he was a Postdoctoral Fellow at the Harvard Business School AI Institute. He earned his Ph.D. in Computer Science from the University of California, Los Angeles, an M.S. in Statistics from Stanford University, and a B.A. in Statistics from the University of California, Berkeley. His research aims to scientifically understand AI to ensure that it is trustworthy and beneficial to humanity. To this end, he develops principled methods for analyzing and improving the trustworthiness of AI systems. His work has been published in leading AI and business venues, including NeurIPS, ICML, ICLR, ACL, WWW, and ISR. He also serves as an Area Chair for NeurIPS and ACL ARR. He is a recipient of the J.P. Morgan AI Ph.D. Fellowship, the Amazon Ph.D. Fellowship, and the NENLP Outstanding Paper Award, and has received multiple Outstanding Reviewer Awards (ICML 2022; KDD 2023, 2025). His research has been highlighted in Nature News Features and HBS AI Insights. He delivered a comprehensive tutorial on Explainable AI at NeurIPS 2025 and has industry research experience at Amazon Web Services and Snap Research.
