picture_of_me

Tim Rogers

Royal Society University
Research Fellow


Department of Mathematical Sciences
University of Bath
4 West 3.37

t.c.rogers@bath.ac.uk

+44(0)1225 38 6457


Research

I am interested in understanding and predicting the behaviour of complicated random events and processes, in particular when there is network or spatial structure involved. Most of my work is connected to the idea of emergence: how large scale order can be created out of the random interactions of individual particles or organisms. As you can see from the titles of my papers, the problems I work on come from a wide range of sources, ecology, biochemistry, random matrix theory, social dynamics, stochastic processes, and so on...

Publications and preprints

Dual-specificity phosphatase 5 controls the localized inhibition, propagation, and transforming potential of ERK signaling
Andrew M. Kidger, Linda K. Rushworth, Julia Stellzig, Jane Davidson, Christopher J. Bryant, Cassidy Bayley, Edward Caddye, Tim Rogers, Stephen M. Keyse, and Christopher J. Caunt

PNAS (2017)
Demographic noise can reverse the direction of deterministic selection
George Constable, Tim Rogers, Alan McKane and Corina Tarnita

PNAS (2016)
Modularity and stability in ecological communities
Jacopo Grilli, Tim Rogers and Stefano Allesina

Nature Communications, 7, 12031 (2016)
Network Inoculation: Heteroclinics and phase transitions in an epidemic model
Hui Yang, Tim Rogers and Thilo Gross
arXiv:1604.02630
Chaos, Volume 26, Issue 8 10.1063/1.4961249
A phase transition in excursions from infinity of the "fast" fragmentation-coalescence process
Andreas Kyprianou, Steven Pagett, Tim Rogers and Jason Schweinsberg
arXiv:1602.05241
From empirical data to time-inhomogeneous continuous Markov processes
Pedro Lencastre, Frank Raischel, Tim Rogers, and Pedro G. Lind
arXiv:1510.07282
Phys. Rev. E 93, 032135 (2016)
Dimension reduction via timescale separation in stochastic dynamical systems
Todd Parsons and Tim Rogers
arXiv:1510.07031
Scale-invariant geometric random graphs
Zheng Xie and Tim Rogers
arXiv:1505.01332
Phys. Rev. E 93, 032310 (2016)
Universality in a class of fragmentation-coalescence processes
Andreas Kyprianou, Steven Pagett, and Tim Rogers
arXiv:1504.03196
Assessing node risk and vulnerability to epidemics on networks
Tim Rogers
Free to read until 31 December 2016 at EPL, also on arXiv:1502.00901
Europhys. Lett. 109, 28005 (2015) "Editor's Choice"
Modes of competition and the fitness of evolved populations
Tim Rogers, Alan McKane
arXiv:1407.3137
Phys. Rev. E 92, 032708 (2015) "Editor's Suggestion"
Growth-induced breaking and unbreaking of ergodicity in fully-connected spin systems
Richard Morris, Tim Rogers
arXiv:1404.7317
J. Phys. A: Math. Theor. 47 342003 (2014)
Current noise-removal methods can create false signals in ecogenomic data
Axel G Rossberg, Tim Rogers, Alan J McKane
Full text
Proc. R. Soc. B: Biol. (2014) 281, 1783
Null models for dynamic centrality in temporal networks
Tim Rogers
Full text
Journal of Complex Networks (2014)
Stochastic pattern formation and spontaneous polarisation: the linear noise approximation and beyond
Alan J McKane, Tommaso Biancalani, Tim Rogers
arXiv:1211.0462
Bull. Math. Biol. 76, 4, pp 895-921 (2014)
Consensus time and conformity in the adaptive voter model
Tim Rogers, Thilo Gross
arXiv:1304.4742
Phys. Rev. E 88, 030102(R) (2013)
Are there species smaller than 1mm?
Axel G Rossberg, Tim Rogers, Alan J McKane
Open access
Proc. R. Soc. B: Biol. (2013) 280, 1767
Stochastic dynamics on slow manifolds
George W A Constable, Alan J McKane, Tim Rogers
arXiv:1301.7697
J. Phys. A: Math. Theor. 46, 295002 (2013)
Voter models with conserved dynamics
Fabio Caccioli, Luca Dall'Asta, Tobias Galla, Tim Rogers
arXiv:1208.2050
Phys. Rev. E. 87, 052114 (2013)
Spontaneous genetic clustering in populations of competing organisms
Tim Rogers, Alan J McKane, Axel G Rossberg
arXiv:1207.1615
Phys. Biol. 9, 066002 (2012)
Stochastic oscillations of adaptive networks:
application to epidemic modelling

Tim Rogers, William Clifford-Brown, Catherine Mills, Tobias Galla
arXiv:1206.2768
J. Stat. Mech. P08018 (2012)
Noise-induced metastability in biochemical networks
Tommaso Biancalani, Tim Rogers, Alan J McKane
arXiv:1204.4341
Phys. Rev. E 86, 010106 (Rapid Communications) (2012)
Jamming and pattern formation in models of segregation
Tim Rogers, Alan J McKane
arXiv:1204.5400
Phys. Rev. E 85, 041136 (2012)
Demographic noise can lead to the spontaneous formation of species
Tim Rogers, Alan J McKane, Axel G Rossberg
arXiv:1111.1152
Europhys. Lett. 97, 40008 (2012) "Editor's Choice"
A unified framework for Schelling's model of segregation
Tim Rogers, Alan J McKane
arXiv:1104.1971
J. Stat. Mech. P07006 (2011)
Maximum-entropy moment-closure for stochastic systems on networks
Tim Rogers
arXiv:1103.4980
J. Stat. Mech. P05007 (2011)
Universal sum and product rules for random matrices
Tim Rogers
arXiv:0912.2499
J. Math. Phys. 51, 093304 (2010)
Spectral density of random graphs with topological constraints
Tim Rogers, Conrad Pérez Vicente, Koujin Takeda, Isaac Pérez Castillo
arXiv:0910.3556
J. Phys. A: Math. Theor. 43 195002, (2010)
Cavity approach to the spectral density of non-Hermitian sparse matrices
Tim Rogers, Isaac Pérez Castillo
arXiv:0810.0991
Phys. Rev. E. 79, 012101 (2009)
Cavity approach to the spectral density of sparse symmetric random matrices
Tim Rogers, Koujin Takeda, Isaac Pérez Castillo, Reimer Kühn
arXiv:0803.1553
Phys. Rev. E. 78, 031116 (2008)
PhD Thesis - New Results on the Spectral Density of Random Matrices
Tim Rogers
King's College London (2010)


Popular Science

Debunking the selfish myth
Tim Rogers and George Constable

Positive News
μN
Adam Evans and Alec Morton
Video art piece created by Adam Evans and Alec Morton for Fringe Arts Bath, exploring the themes of my research into stochastic effects in evolution.
Click here for the video.
"The Species Paradox"
Ignite talk: watch the video
University of Bath, December 2013
How, if and why species form
Axel G Rossberg, Tim Rogers, Alan J McKane
Popular science article
The Scientist, November 2013 Issue
Make your own patterns with the Swift-Hohenberg equation
Interactive demo made for Manchester Museum
(you'll need an up-to-date version of Firefox or Chrome)


PhD Students

Steven Pagett
Co-supervised with Andreas Kyprianou
Project: Fragmentation-coalescence processes
Qian Yang
Co-supervised with Jonathan Dawes
Project: Cyclic dominance
Kevin Minors
Co-supervised with Jonathan Dawes
Project: Invasive species
Sam Moore
Co-supervised with Peter Mörters
Project: Contagion on networks
Minh Nguyen Quang
Co-supervised with Ana Lanham
Project: Microbial community structure in biological phosphorus removal systems

Teaching

MA30245: Graphs & Networks
University of Bath, Spring 2015
Course website
Epidemics and Networks
Complex Systems Modelling "Masterclass"
King's Collect London, Spring 2015
Download the notes
Bayesian Data Analysis
Manchester University, Autumn 2011
Download the worked examples
(you'll need Mathematica)