David R. (Chip) Kent IV received his BS in chemistry and physics with a minor in mathematics from Texas A&M University in 1999. During this time, Chip researched the conformational preferences of small molecules, femtosecond spectroscopy, capillary electrophoresis, iterative eigensolvers, and the fundamentals of quantum mechanics. Following graduation from Texas A&M, Chip began his doctoral work with his Hertz Fellowship at the California Institute of Technology. There he developed new algorithms to efficiently utilize massively parallel computers in quantum Monte Carlo simulations. Chip graduated in March 2003 and was awarded the Fannie and John Hertz Foundation Thesis Prize in 2003.
Chip served as a staff scientist at Los Alamos National Laboratory from 2003 through 2006. In addition to developing software to improve the reliability and repeatability of nuclear-weapon simulations, he examined new hardware and software architectures for future high-performance computing applications. Since 2006, Chip has worked as a quantitative analyst for Walleye Trading, a successful highfrequency, fully-automated derivates-trading fund. He develops mathematical models for market behavior that are the intelligence governing how Walleye’s automated system trades.
