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
Efficient and flexible methods for simulating models of time since infection.
– Phys Rev 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)
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.
– The Journal of Chemical Physics
(2021)
154,
035101
(doi: 10.1063/5.0031368)
Internal friction controls active ciliary oscillations near the instability threshold.
– Sci Adv
(2020)
6,
eabb0503
(doi: 10.1126/sciadv.abb0503)
Controlled Optofluidic Crystallization of Colloids Tethered at Interfaces.
– Phys Rev Lett
(2020)
125,
068001
Ritz method for transition paths and quasipotentials of rare diffusive events
– Physical Review Research
(2020)
2,
033208
Controlled Optofluidic Crystallization of Colloids Tethered at Interfaces
– Physical Review Letters
(2020)
125,
068001
Stochastic action for tubes: Connecting path probabilities to measurement
– Physical Review Research
(2020)
2,
023407
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