Jose Cadena
About Jose Cadena
Jose Cadena is a Research Staff Member at Lawrence Livermore National Laboratory, specializing in graph theory and approximation algorithms. He has a Ph.D. in Computer Science from Virginia Tech and extensive experience in network analysis and machine learning.
Work at Lawrence Livermore National Laboratory
Jose Cadena has been a Research Staff Member at Lawrence Livermore National Laboratory since 2019. He focuses on network analysis within the machine learning group. His previous roles at the laboratory include serving as a Summer Scholar in 2015 and 2016, as well as a DSSI intern in 2017. In addition to his current position, he has also worked as a Postdoctoral Research Member since 2018.
Education and Expertise
Jose Cadena earned his Doctor of Philosophy (Ph.D.) in Computer Science from Virginia Tech, where he studied from 2012 to 2017. He also holds a degree in Computer Engineering from the University of South Florida, where he studied from 2008 to 2012. His areas of expertise include graph theory, approximation algorithms, anomaly detection, and combinatorial optimization.
Background
Before joining Lawrence Livermore National Laboratory, Jose Cadena worked as a Software Developer and IT Support at American Mortgage Consultants, Inc. from 2011 to 2012. He also served as a Calculus and Physics Tutor at the University of South Florida from 2010 to 2011. His academic journey included significant research experience as a Graduate Research Assistant at the Biocomplexity Institute of Virginia Tech from 2012 to 2017.
Research Interests
Jose Cadena's research interests encompass anomaly detection and combinatorial optimization. His work in these areas contributes to advancements in network analysis and machine learning, reflecting his commitment to addressing complex problems through computational methods.