BS (Physics) Louisiana State University BA (Mathematics) Louisiana State University PhD (Theoretical Physics) Cornell University

Mathematical modeling and inference in complex biological systems; data-driven inverse problems in systems biology and systems neuroscience; statistical mechanical tools for dynamical models with many parameters; Bayesian and nonparametric statistical methods for inference of network structure from data

Gutenkunst, R. N., Waterfall, J. J., Casey, F. P., Brown, K. S., Myers, C. R. and Sethna, J. P. (2007). Universally sloppy parameter sensitivities in systems biology models. PLoS Comp Bio 3:1871–1878 Locke JCW, Southern MM, Kozma-Bognr L, Hibberd V, Brown PE, et al. (2005) Extension of a genetic network model by iterative experimentation and mathematical analysis. Mol Syst Biol 1: 0013. Brown KS, Sethna JP (2003) Statistical mechanical approaches to models with many poorly known parameters. Phys Rev E 68: 021904. Brown KS, Hill CC, Calero GA, Myers CR, Lee KH, et al. (2004) The statistical mechanics of complex signaling networks: Nerve growth factor signaling. Phys Biol 1: 184–195. Frederiksen SL, Jacobsen KW, Brown KS, Sethna JP (2004) Bayesian ensemble approach to error estimation of interatomic potentials. Phys Rev Lett 93: 165501.