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
Intrinsic Langevin dynamics of rigid inclusions on curved surfaces
– Physical Review E
(2025)
111,
045418
(doi: 10.1103/PhysRevE.111.045418)
Memory, hysteresis, and kinetic cooperativity in stochastic mnemonic networks
– J Chem Phys
(2025)
162,
125102
(doi: 10.1063/5.0252386)
Fluctuating hydrodynamics of an autophoretic particle near a permeable interface
– Journal of Fluid Mechanics
(2024)
998,
a34
(doi: 10.1017/jfm.2024.661)
A geometric formulation of Schaefer’s theory of Cosserat solids
– Journal of Mathematical Physics
(2024)
65,
061902
(doi: 10.1063/5.0182475)
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
– Phys Rev 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 and flexible methods for simulating models of time since infection.
– Physical Review E
(2021)
104,
024410
(doi: 10.1103/physreve.104.024410)
Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19.
– Royal Society open science
(2021)
8,
211065
(doi: 10.1098/rsos.211065)
Experimental Measurement of Relative Path Probabilities and Stochastic Actions
– Physical Review X
(2021)
11,
031022
(doi: 10.1103/physrevx.11.031022)
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