@article{chia2026three,title={Three Centuries of the Laws of Cricket Reveal Core Principles of the Evolution of Regulatory Mechanisms},author={Chia, Daniel and Youn, Hyejin and Singer, Jonny and Jeong, Dawoon and Kempes, Chris and Ogbunugafor, C Brandon and West, Geoffrey B and Holehouse, James},journal={arXiv preprint arXiv:2607.05586},year={2026},summary={Shows that the Laws of Cricket have grown as a power law in system size over 300 years -- direct evidence for the Lab's claim that regulatory systems, biological or social, grow according to shared quantitative laws.}}
@article{kumar2026branching,title={Branching under First-Passage Resetting},author={Kumar, Aanjaneya and Holehouse, James},journal={arXiv preprint arXiv:2605.16693},year={2026},summary={Introduces a framework where replication events (e.g. cell division, viral lysis) are triggered by internal first-passage dynamics rather than an external clock, showing that stochastic timing fluctuations actually enhance population growth relative to a deterministic clock. The Lab is building on this same branching-process math to model rule-making as a response to rule-breaking.}}
arXiv
The Origins of Transient Bimodality
Kaan Öcal, Augustinas Sukys, Aanjaneya Kumar, and 1 more author
@article{ocal2026origins,title={The Origins of Transient Bimodality},author={{\"O}cal, Kaan and Sukys, Augustinas and Kumar, Aanjaneya and Holehouse, James},journal={arXiv preprint arXiv:2607.16531},year={2026},summary={Identifies a phase transition into transient bimodal behavior driven purely by noise and time-dependent kinetics -- core evidence for the Lab's claim that biology is fundamentally transient rather than steady-state.}}
bioRxiv
Microbial Ecosystems Reveal a Universal Signature of Ecological Assembly
James Holehouse, Geoffrey B West, Christopher P Kempes, and 1 more author
@article{holehouse2026microbial,title={Microbial Ecosystems Reveal a Universal Signature of Ecological Assembly},author={Holehouse, James and West, Geoffrey B and Kempes, Christopher P and Swain, Anshuman},journal={bioRxiv},year={2026},doi={10.64898/2026.07.10.737833},summary={Extends the Lab's generative model of functional diversity to microbial ecosystems, showing they occupy a distinct region of the same parameter space that also describes proteomes and cities.}}
npj Comp.
Quantifying broken detailed balance in transcription
@article{holehouse2026quantifying,title={Quantifying broken detailed balance in transcription},author={Holehouse, James},journal={npj Complexity},volume={3},number={1},pages={10},year={2026},publisher={Nature Publishing Group UK London},summary={Derives exact formulas for the thermodynamic irreversibility (entropy production rate) of a two-state gene, and finds that most real genes avoid kinetic regimes with high energy dissipation despite this not being required by thermodynamics alone. Also shows that cell-to-cell variability can make gene expression look more or less irreversible than a single "representative cell" would suggest.}}
Proc. B
Do distinct subpopulations signify modes of behaviour in a noisy single cell?
James Holehouse
Proceedings of the Royal Society B: Biological Sciences, 2026
@article{holehouse2026distinct,title={Do distinct subpopulations signify modes of behaviour in a noisy single cell?},author={Holehouse, James},journal={Proceedings of the Royal Society B: Biological Sciences},volume={293},number={2070},year={2026},publisher={The Royal Society},summary={Argues that counting subpopulations in single-cell data can be a misleading proxy for the true number of behavioral modes available to a cell, and constructs counterexamples where two apparent subpopulations actually arise from non-equilibrium transient dynamics rather than distinct stable states.}}
arXiv
How is gene-regulatory evolution affected by cell-to-cell variability?
@article{jeong2025century,title={A Dataset Showing a Century of Evolution in the Complexity of the United States Legal Code},author={Jeong, Dawoon and Holehouse, James and Yoon, Jisung and Kempes, Chris and West, Geoffrey B and Youn, Hyejin},journal={Scientific Data},year={2026},publisher={Nature Publishing Group UK London},summary={Provides the century-long U.S. Code dataset that anchors the Lab's claim that legal and biological regulatory systems both grow as power laws in system size.}}
PNAS
Scaling laws for function diversity and specialization across socioeconomic and biological complex systems
Vicky Chuqiao Yang*, James Holehouse*, Hyejin Youn, and 4 more authors
Proceedings of the National Academy of Sciences, 2026
@article{yang2026scaling,title={Scaling laws for function diversity and specialization across socioeconomic and biological complex systems},author={Yang, Vicky Chuqiao and Holehouse, James and Youn, Hyejin and Arroyo, Jos{\'e} Ignacio and Redner, Sidney and West, Geoffrey B and Kempes, Christopher P},journal={Proceedings of the National Academy of Sciences},volume={123},number={7},pages={e2509729123},year={2026},publisher={National Academy of Sciences},summary={Establishes the Lab's central scaling-law result: that function diversity and specialization scale similarly across socioeconomic and biological complex systems.}}
2025
arXiv
A generative model of function growth explains hidden self-similarities across biological and social systems
James Holehouse, S. Redner, V.C. Yang, and 5 more authors
@article{holehouse2025generative,title={A generative model of function growth explains hidden self-similarities across biological and social systems},author={Holehouse, James and Redner, S. and Yang, V.C. and Krapivsky, P.L. and Arroyo, J.I. and West, Geoffrey B. and Kempes, Chris and Youn, Hyejin},note={arXiv preprint arXiv:2509.14468},year={2025},summary={The Lab's core generative model of functional diversity, showing that proteomes, federal agencies, and city occupations diversify through the same underlying stochastic process.}}
2024
JCP
Solving the time-dependent protein distributions for autoregulated bursty gene expression using spectral decomposition
Bingjie Wu, James Holehouse, Ramon Grima, and 1 more author
@article{wu2024solving,title={Solving the time-dependent protein distributions for autoregulated bursty gene expression using spectral decomposition},author={Wu, Bingjie and Holehouse, James and Grima, Ramon and Jia, Chen},journal={The Journal of Chemical Physics},volume={160},number={7},year={2024},publisher={AIP Publishing},summary={Derives an exact time-dependent solution for autoregulated bursty gene expression, showing the eigenfunctions are Heun functions and the eigenvalues follow from a continued-fraction equation -- a genuinely transient, non-steady-state result in the same vein as the Lab's later work on regulatory transience.}}
@article{holehouse2024first,title={First passage on disordered intervals},author={Holehouse, James and Redner, S},journal={Physical Review E},volume={109},number={3},pages={L032102},year={2024},publisher={APS},summary={Derives exact first-passage statistics for a random walk on a finite interval with disordered hopping rates, finding that different realizations of the disorder produce wildly different first-passage times, including genuinely bimodal first-passage-time distributions.}}
ESMTB Comms.
Model reduction, mechanistic modelling and transience in models of stochastic chemical kinetics
James Holehouse
European Communications in Mathematical and Theoretical Biology, 2024
@article{holehouse2024summary,title={{Model reduction, mechanistic modelling and transience in models of stochastic chemical kinetics}},author={Holehouse, James},journal={European Communications in Mathematical and Theoretical Biology},year={2024},volume={26},pages={6-14},summary={Summarizes the PhD thesis work that seeded the Lab's research program on transience and model reduction in stochastic gene expression.}}
2023
Sci. Advances
The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian
Douglas E Weidemann, James Holehouse, Abhyudai Singh, and 2 more authors
@article{weidemann2023minimal,title={The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian},author={Weidemann, Douglas E and Holehouse, James and Singh, Abhyudai and Grima, Ramon and Hauf, Silke},journal={Science Advances},volume={9},number={32},pages={eadh5138},year={2023},publisher={American Association for the Advancement of Science},summary={Identifies fission-yeast genes whose expression noise falls genuinely below the previously assumed Poissonian floor, and shows this "sub-Poissonian" regime arises from a higher mRNA export rate suppressing cytoplasmic noise.}}
Entropy
Recurrence and Eigenfunction Methods for Non-Trivial Models of Discrete Binary Choice
@article{holehouse2023recurrence,title={Recurrence and Eigenfunction Methods for Non-Trivial Models of Discrete Binary Choice},author={Holehouse, James},journal={Entropy},volume={25},number={7},pages={996},year={2023},publisher={MDPI},summary={Derives a closed-form solution to the three-term recurrence relation that governs relaxation dynamics in binary-choice models like Kirman's ant-recruitment model, using the power-series structure of Heun functions.}}
2022
J. Phys. Complexity
Exact time-dependent dynamics of discrete binary choice models
@article{holehouse2022exact,title={Exact time-dependent dynamics of discrete binary choice models},author={Holehouse, James and Moran, Jos\'e},journal={Journal of Physics: Complexity},year={2022},summary={Derives exact time-dependent solutions for discrete binary-choice models with agent interactions -- including Kirman and Föllmer's ant-recruitment model for any finite population -- showing convergence to equilibrium depends only on the random switching rate, not on imitation rate or population size.}}
PLoS One
Non-equilibrium time-dependent solution to discrete choice with social interactions
@article{holehouse2021nonequilibrium,title={Non-equilibrium time-dependent solution to discrete choice with social interactions},author={Holehouse, James and Pollitt, Hector},year={2022},journal={PLoS ONE},summary={Solves Brock and Durlauf's binary-decision model away from equilibrium, revealing metastable effects and path-dependent behavior for highly rational agents, and extends the model to altruistic as well as selfish decision-makers.}}
2021
J. R. Soc. Interface
Distinguishing between models of mammalian gene expression: telegraph-like models versus mechanistic models
Svitlana Braichenko*, James Holehouse*, and Ramon Grima
@article{braichenko2021distinguishing,title={Distinguishing between models of mammalian gene expression: telegraph-like models versus mechanistic models},author={Braichenko, Svitlana and Holehouse, James and Grima, Ramon},journal={Journal of the Royal Society Interface},year={2021},publisher={The Royal Society},summary={Compares simplified telegraph-like models against a detailed mechanistic model of mammalian transcription, finding the two are practically indistinguishable from mRNA count distributions alone but can be told apart from their waiting-time distributions.}}
2020
Biophysical Journal
Stochastic modeling of autoregulatory genetic feedback loops: A review and comparative study
@article{holehouse2020stochastic1,title={Stochastic modeling of autoregulatory genetic feedback loops: A review and comparative study},author={Holehouse, James and Cao, Zhixing and Grima, Ramon},journal={Biophysical journal},volume={118},number={7},pages={1517--1525},year={2020},publisher={Elsevier},summary={A review comparing the major stochastic models of autoregulatory genetic feedback loops used in the literature, summarizing what is and isn't known about how they relate to one another.}}
J. Phys. A
Steady-state fluctuations of a genetic feedback loop with fluctuating rate parameters using the unified colored noise approximation
James Holehouse, Abhishek Gupta, and Ramon Grima
Journal of Physics A: Mathematical and Theoretical, 2020
@article{holehouse2020steady,title={Steady-state fluctuations of a genetic feedback loop with fluctuating rate parameters using the unified colored noise approximation},author={Holehouse, James and Gupta, Abhishek and Grima, Ramon},journal={Journal of Physics A: Mathematical and Theoretical},volume={53},number={40},pages={405601},year={2020},publisher={IOP Publishing},summary={Uses the unified colored noise approximation to show how fluctuations in a gene circuit's own rate parameters reshape its protein distribution, and identifies when this approximation breaks down.}}
JCP
Stochastic time-dependent enzyme kinetics: closed-form solution and transient bimodality
James Holehouse, Augustinas Sukys, and Ramon Grima
@article{holehouse2020stochastic2,title={Stochastic time-dependent enzyme kinetics: closed-form solution and transient bimodality},author={Holehouse, James and Sukys, Augustinas and Grima, Ramon},journal={The Journal of Chemical Physics},volume={153},number={16},pages={164113},year={2020},publisher={AIP Publishing LLC},summary={Derives a closed-form solution for stochastic Michaelis-Menten enzyme kinetics and shows the substrate distribution can become transiently bimodal at intermediate times -- a behavior with no deterministic counterpart.}}
2019
Biophysical Journal
Revisiting the reduction of stochastic models of genetic feedback loops with fast promoter switching
@article{holehouse2019revisiting,title={Revisiting the reduction of stochastic models of genetic feedback loops with fast promoter switching},author={Holehouse, James and Grima, Ramon},journal={Biophysical journal},volume={117},number={7},pages={1311--1330},year={2019},publisher={Elsevier},summary={Shows that the standard fast-promoter-switching approximation for stochastic gene feedback loops breaks down whenever the protein-DNA binding rate greatly exceeds the unbinding rate, meaning commonly used reduced models are only accurate in part of the relevant parameter space.}}