CEO
VivoSecurity Inc.
San Jose State University, United States
Thomas Lee has more than 30-years of experience finding “signal in noise”, for industrial engineering, for business and for medicine, using digital signal processing, digital image processing, pattern matching in Fourier space, regression analysis, singular value decomposition, and machine learning. In cybersecurity, Thomas has developed models to forecast online banking fraud, probability for PII data breach, probability for lawsuits and costs in the event of a PII data breach. Thomas has given many talks on a science approach to security including ISACA, ISC2 and ISSA chapters, and SecTor Canada. Thomas has multiple patents and publications in peer reviewed journals and holds BS degrees in Physics and Electrical Engineering from the University of Washington, and PhD in Biophysics from the University of Chicago.
License to Secure: A People-Centric Approach to Managing Cumulative Third-Party Data Breach Risk
Thursday, October 30, 2025
10:30 AM - 11:30 AM CT