Phone: 732-445-2001 x2205
Tina Eliassi-Rad joined CASC as a computer scientist in September 2001. Her research interests include artificial intelligence, machine learning, knowledge discovery and data mining. Her work has been applied to the World-Wide Web, large-scale scientific simulation data, and complex networks.
Tina earned a Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison in 2001. Tina completed her M.S. in Computer Science at the University of Illinois at Urbana-Champaign in 1995, and her B.S. in Computer Sciences at the University of Wisconsin-Madison in 1993.
Since joining LLNL, Tina has worked on the following projects: DataFoundry, Complex Networks, Predictive Knowledge Systems, Role Discovery, and SETAC (short for Supercomputing Enabled Transformational Analytics Capability).
Tina's CV is available in PDF.