Truong (Jack) Luu is a Ph.D. candidate in Information Systems at the University of Cincinnati. His research examines how individuals and organizations respond to privacy and cybersecurity threats in an era shaped by AI and machine learning. He develops frameworks and predictive models that strengthen privacy and security in AI/ML and blockchain applications, supporting ethical adoption in sectors such as healthcare and fintech. His work has appeared in leading Information Systems and business journals, including Information Systems Research, Journal of Management Information Systems, Computers in Human Behavior, and Economics Letters. His doctoral work is advised by Andrew Harrison and Binny Samuel.

Starting Fall 2026, Jack will join the Department of Information Systems and Analytics at McCoy College of Business, Texas State University as an Assistant Professor (tenure-track).

Jack has received UC's Digital Futures Fellowship for three consecutive years (4-6 awarded university-wide annually), the Dean's Dissertation Completion Fellowship (9 awarded university-wide annually), and the Carl H. Lindner Outstanding Doctoral Student Research Award (1 awarded college-wide annually). He has secured over $132,000 in research awards and grants. He teaches courses in information systems security, web development, and applied AI/machine learning.

He also created AI Sec Watch, an AI security monitoring tool for tracking LLM vulnerabilities, privacy incidents, and policy changes.