The impact of technology on "omics" and the future of bioimformatics

Monica is Principal Engineer and Director of Big Data for Science and Technology in the Big Data Pathfinding Group at Intel Corporation. The Pathfinding team is focused on end-to-end research and development to accelerate scientific and technological big data, predictive analytics, and high performance computing efforts. Monica’s team is primarily working on big data platforms and big data analytics research in the health and life sciences.

Monica joined Intel in 2008 leading Strategic Initiatives in Validation Business Intelligence and Analytics programs within the Platform Validation Engineering Group. Prior to joining Intel, Monica had been a Principal Member of the Technical Staff at Sandia National Laboratories, leading award-winning research in verification, validation, and quantifications of margins under uncertainty in complex systems within defense and energy programs.

Monica completed a National Science Foundation Post-Doctoral Fellowship at Stanford University. She earned a Ph.D. in Computational and Applied Mathematics from Rice University and received a B.S. in Mathematics from Stanford University. Monica is an author of multiple peer-reviewed journal articles.