I’m James, a postdoc at the Santa Fe Institute. I completed my PhD in Mathematical Biology, supervised by Prof. Ramon Grima at the University of Edinburgh. 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.
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 firstname.lastname@example.org, I’m always free for discussion and collaboration. You can access my full CV here.
Weidemann, D. E., Holehouse, J., Singh, A., Grima, R., & Hauf, S. (2023). The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian. Science Advances, 9(32), eadh5138.
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.
Awarded the Reinhart Heinrich Award from ESMTB - July 4, 2023
New Publication on Time-Dependent Solutions to Kirman's Ants - September 7, 2022