Dr. Braden Soper is a data scientist in the Global Security Computing Applications Division at Lawrence Livermore National Laboratory. He holds a B.S. in Mathematics from the University of California, Los Angeles, and a Ph.D. in Applied Mathematics and Statistics from the University of California, Santa Cruz. His thesis research involved the development, analysis, and computation of game theoretic models for adversarial threat detection in the cyber security domain. As a researcher at LLNL, Dr. Soper applies his skills as an applied mathematician and statistician to assist in the modeling and analysis of complex data sets in a variety of domains.
