James Holehouse Quantitative Biology and Complexity


I’m James, a postdoc researcher at the Santa Fe Institute. I completed my PhD in Mathematical Biology, supervised by Prof. Ramon Grima. Much of my research has centred on stochastic gene expression, although I have also engaged with topics as diverse as enzyme kinetics, social choice models and cross situational learning.

Currently in my postdoc I will look to explain scaling behaviours in regulatory networks. I am also still engaged in projects on analytics and inference in models of stochastic gene expression. All my publications are either open-science or else can be accessed on the arXiv or bioarXiv (or send me an email and I’ll send you the article). Feel free contact me at jamesholehouse1@gmail.com, I’m always free for discussion and collaboration. You can access my full CV here.



Holehouse, J., & Moran, J. (2022). Exact time-dependent dynamics of discrete binary choice models. Journal of Physics: Complexity.

Holehouse, J., & Pollitt, H. (2022). Non-equilibrium time-dependent solution to discrete choice with social interactions. PLoS ONE.

Braichenko, S., Holehouse, J., & Grima, R. (2021). Distinguishing between models of mammalian gene expression: telegraph-like models versus mechanistic models. J. R. Soc. Interface.

Holehouse, J., Sukys, A., & Grima, R. (2020). Stochastic time-dependent enzyme kinetics: Closed-form solution and transient bimodality. The Journal of Chemical Physics.

Holehouse, J., Gupta, A., & Grima, R. (2020). Steady-state fluctuations of a genetic feedback loop with fluctuating rate parameters using the unified colored noise approximation. Journal of Physics A: Mathematical and Theoretical.

Holehouse, J., Cao, Z., & Grima, R. (2020). Stochastic modeling of autoregulatory genetic feedback loops: A review and comparative study. Biophysical Journal.

Holehouse, J., & Grima, R. (2019). Revisiting the reduction of stochastic models of genetic feedback loops with fast promoter switching. Biophysical Journal.