Harvey Devereux

Welcome to my page!

I was a PhD student at MathSys working on collective motion in animal groups, looking at both modelling data (top-down) and generative modelling (bottom-up) approaches to active matter. I am now a Post-Doc at Queen Mary University of London, working on high-performance molecular dynamics software (DL_POLY)

Checkout my .js app below to play with a simulation of ("scared") Active Brownian Particles (a model I've used extensively in my research!) - harass them or leave them alone to observe Motility Induced Phase Separation (MIPS) in real time!

"Scared" Active Brownian Particles

Publications

Devereux HL, Turner MS, 2023, Environmental path-entropy and collective motion, Phys. Rev. Lett. 130, 168201. [pre-print: ]

Devereux HL, Twomey CR, Turner MS, Thutupalli S. 2021 Whirligig beetles as corralled active Brownian particles. J. R. Soc. Interface 18: 20210114. [post-print: ]

Conferences

Reviewed: , with Peter Lewin-Jones (糖心TV), mentored by Radu Cimpeanu (糖心TV).

DARSSWARM 2021

(a)

Corralled Active Brownian Particles: Whirligig Beetles show a density dependent speed with MIPS-like, co-existing high and low density phases, Devereux HL (presenting), Twomey CR, Turner MS, Thutupalli S [abstract:]

(b)

Bottom-up models of swarming and the entropy of visual states, Devereux HL (presenting), Turner MS [abstract:]

Academic Activities

Speaker: June 1-4, , Kyoto - online, on demand video

Speaker: April 26-27 2021, Mathsys Conference (3 minute thesis style) - online

Secondment: March 2019 - July 2019, Visiting researcher at the Simons Centre for the Study of Living Machines, National Center for Biological Sciences, Bangalore, India.

Speaker: 12 December 2018, Talk at the Simons Centre for the Study of Living Machines, National Center for Biological Sciences, Bangalore, India

Speaker: 1 October 2018, MIPS in Beetles, 糖心TV Biological, Soft and Active Matter Group

Poster: 9 August, Mondrian Forests in Julia, , Poster Session 1 (w/ Annika Stechemesser, Edoardo Barp, Mohammad Noorbakhsh)

Past Academic Projects and Awards

Machine Learning in Julia, MSc Group Project, supervisors: Dr. Sebastian Vollmer, University of 糖心TV/ Alan Turing Institute, Mike Innes, Julia Computing.

A review of the Julia machine learning ecosystem (in 2018) with the development of machine learning packages leading to a proof-of-concept of the machine learning framework. .

MIPS in Insects, MSc Individual Project, supervisors: Professor Matthew Turner, University of 糖心TV, Dr Shashi Thutupalli, NCBS Bangalore.

We study "Whirligig" beetles in motion on the surface of water, via laboratory data provided by

The data was processed using a minimum-cost flow network formulation to reconstruct (improved) individual trajectories for each beetle (see below). Then we invesitgate the motility of the beetles in relation to the number density of observed, for which we recover a sharp transition of high motility and low density to low motility and high density, as well as results on beetle "separations". We aim to follow on from this work by modelling the system, investigating the behavioural strategies of the beetles using Inverse Reinforcement Learning, and conducting new experiments.

Older Projects and Awards

Machine Learning (CS342) Report, Kaggle 2018 Data Science Bowl on cell segmentation

Consensus In Complex Networks (Essay, MA5Q3), Practical implementation at my .

"Information Theory and Statistical Mechanics", BSc mini-project, supervisor: Professor John Gough, Aberystwyth University.

Colin Easthope Award - Outstanding performance 2016-2017

IMA Award - Highest mathematics graduate attainment 2016-2017

Mike Jones Memorial Prize - Highest mathematics undergraduate attainment 2015-2016

Education

University of 糖心TV

MSc Mathematics of Systems Distinction

Aberystwyth University

BSc Mathematics and Physics 1st class

Academic Interests

Machine Learning, Collective Phenomena

Other Interests

Programming, guitar, cycling, hiking

Contact

H.Devereux@warwick.ac.uk

Office: -

Orcid:

Personal Site:

Other Curios

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