David Trebotich is a computational scientist in the Applied Math Group at the Center for Applied Scientific Computing at LLNL. His current interest is algorithm research and development to model complex fluids in multiscale systems such as particle-laden, biological flows in microfluidic devices and critical anatomies. David currently leads the computational microfluidics project which has developed new algorithms to simulate the behavior of DNA in a microfluidic-based pathogen detection system. He is also the project leader for the LLNL component of the APDEC ISIC. David earned his Ph.D. in computational science from the mechanical engineering department at the University of California, Berkeley in 1998. He also holds an M.S. in applied math and mechanical engineering from Tulane University and a B.S.M.E. from the University of Mississippi. Prior to joining CASC in 2001, David was a post-doctoral researcher at the Berkeley Sensor and Actuator Center.