Research
Statistical physics, soft matter, stochastic processes, Bayesian inference, machine learning. Research publications on scholar.google.co.uk/citations
Teaching
Mathematical Biology | 2018-2021
Electrodynamics | 2021 - 2023
Publications
Stokes traction on an active particle.
– Phys Rev E
(2022)
106,
014601
(doi: 10.1103/PhysRevE.106.014601)
Measurement of irreversibility and entropy production via the tubular ensemble
– Physical Review E
(2022)
105,
044107
(doi: 10.1103/physreve.105.044107)
Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK
– PLoS ONE
(2021)
16,
e0258968
(doi: 10.1371/journal.pone.0258968)
Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19.
– R Soc Open Sci
(2021)
8,
211065
(doi: 10.1098/rsos.211065)
Efficient and flexible methods for simulating models of time since infection
– Physical Review E
(2021)
104,
024410
(doi: 10.1103/physreve.104.024410)
Experimental Measurement of Relative Path Probabilities and Stochastic Actions
– Physical Review X
(2021)
11,
031022
(doi: 10.1103/PhysRevX.11.031022)
Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK
(2021)
2021.03.10.21253311
(doi: 10.1101/2021.03.10.21253311)
Transients generate memory and break hyperbolicity in stochastic enzymatic networks.
– Journal of Chemical Physics
(2021)
154,
035101
(doi: 10.1063/5.0031368)
Periodic Orbits of Active Particles Induced by Hydrodynamic Monopoles (vol 124, 088003, 2020)
– Phys Rev Lett
(2020)
125,
099901
Internal friction controls active ciliary oscillations near the instability threshold
– Sci Adv
(2020)
6,
eabb0503
(doi: 10.1126/sciadv.abb0503)
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