Summary
Jose Cadena is a Research Staff Member at Lawrence Livermore National Laboratory with 12 years of experience applying machine learning, data mining, and network analysis to real-world scientific and security problems. He holds a Ph.D. in Computer Science from Virginia Tech and has progressed from graduate research and summer scholar roles into a sustained research career at LLNL, including a postdoctoral appointment. His work spans anomaly detection, graph theory, combinatorial optimization, and approximation algorithms, blending theoretical algorithm design with practical data-driven systems. Based in Livermore, CA, Jose is comfortable navigating both high-assurance lab environments and collaborative academic settings, frequently translating complex theory into implementable solutions. Notably, his background includes developing financial web applications early in his career, reflecting a pragmatic engineering foundation beneath his research focus.
12 years of coding experience
7 years of employment as a software developer
Computer Engineering, Computer science, Computer Engineering, Computer science at University of South Florida
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Virginia Tech
English, Spanish, French