Research Summary:

I am a theoretical and computational systems biologist and systems neuroscientist. I study complex biological systems, employing methodology from dynamical systems, Bayesian and nonparametric statistics, computational biology, and statistical signal processing. My work has focused heavily on inverse problems; inferring network and model structures from cellular time series measurements, protein sequences, and high-dimensional brain data. My work is strongly connected to experimental data, and I continue to have many productive collaborations with experimentalists.

See my webpage for more information.

Selected Publications:

Google Scholar Citations Link

1. 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–
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2. 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.
3. Brown KS, Sethna JP (2003) Statistical mechanical approaches to models with many poorly known parameters. Phys Rev E 68: 021904.
4. 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.
5. Frederiksen SL, Jacobsen KW, Brown KS, Sethna JP (2004) Bayesian ensemble approach to error estimation of interatomic potentials. Phys Rev Lett 93: 165501.