Dr. Jay Newby


The intricate machinery of a living cell must function even when subjected to thermal fluctuations. The effect of thermal fluctuations on a molecule is best described as random time dependent perturbations. Cellular processes are modeled by stochastic processes. While thermal fluctuations can be disruptive, it is more often the case that a cell uses the resulting randomness to its advantage. One example is Brownian motion, or diffusion, used to transport small molecules throughout the cell. The central motivation of my research is to understand how cells harness their intrinsic stochasticity.

Selected Publications

JN. Bistable switching asymptotics for the self regulating gene. (to appear) J. Phys. A, 2015.


JN and M Schwemmer. Effects of moderate noise on a limit cycle oscillator: Counterrotation and bistability. Phys. Rev. Lett., 2014.

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JN. Spontaneous excitability in the Morris--Lecar model with ion channel noise. SIAM J. Appl. Dyn. Syst., 2014.

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JN, P Bressloff, and J Keener. Breakdown of fast-slow analysis in an excitable system with channel noise. Phys. Rev. Lett., 2013.

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S Isaacson and JN. Uniform asymptotic approximation of diffusion to a small target. Phys. Rev. E, 2013.

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JN and J Chapman. Metastable behavior in Markov processes with internal states. J. Math. Biol., 2013.

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P Bressloff and JN. Stochastic models of intracellular transport. Rev. Mod. Phys., 2013.

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JN. Isolating intrinsic noise sources in a stochastic genetic switch. Physical Biol., 2012.

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JN and J Keener. An asymptotic analysis of the spatially inhomogeneous velocity-jump process. Multiscale Modeling & Simulation, 2011.

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