Research
Statistical physics, soft matter, stochastic processes, Bayesian inference, machine learning. Research publications on scholar.google.co.uk/citations
Teaching
Mathematical Biology Lent 2018, Lent 2019, Lent 2020.
News
13.05.2020 | Volunteers from DAMTP have released open source epidemiological modelling codes PyRoss and PyRossGeo for age-resolved and spatially-resolved modelling of pandemics.
28.03.2020 | News articles about our COVID-19 paper: Indian Express | The Tribune | The Telegraph and others at the PyRoss wiki.
26.03.2020 | Work with Rajesh Singh on age- and social contact-structured model of the COVID-19 epidemic is now on arXiv: Age-structured impact of social distancing on the COVID-19 epidemic in India.
Publications
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)
– Physical review letters
(2020)
125,
099901
Internal friction controls active ciliary oscillations near the instability threshold
– Science Advances
(2020)
6,
eabb0503
(DOI: 10.1126/sciadv.abb0503)
Controlled Optofluidic Crystallization of Colloids Tethered at Interfaces
– Physical review letters
(2020)
125,
068001
Controlled Optofluidic Crystallization of Colloids Tethered at Interfaces
– Physical Review Letters
(2020)
125,
068001
Periodic Orbits of Active Particles Induced by Hydrodynamic Monopoles
– Physical review letters
(2020)
124,
088003
Competing chemical and hydrodynamic interactions in autophoretic colloidal suspensions.
– Journal of Chemical Physics
(2019)
151,
044901
(DOI: 10.1063/1.5090179)
Correction to "Linking Catalyst-Coated Isotropic Colloids into 'Active' Flexible Chains Enhances their Diffusivity".
– ACS Nano
(2019)
13,
7357
(DOI: 10.1021/acsnano.9b03970)
Electrohydrodynamic Assembly of Ambient Ion-Derived Nanoparticles to Nanosheets at Liquid Surfaces
– Journal of Physical Chemistry C
(2018)
122,
17777
(DOI: 10.1021/acs.jpcc.8b04169)
Fast Bayesian inference of the multivariate Ornstein-Uhlenbeck process
– arXiv preprint arXiv:1706.04961
(2018)
98,
012136
(DOI: 10.1103/physreve.98.012136)
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