David Gavaghan

David Gavaghan

University of Oxford

H-index: 58

Europe-United Kingdom

About David Gavaghan

David Gavaghan, With an exceptional h-index of 58 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Computational science, software engineering, physiological and biological modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Understanding the impact of numerical solvers on inference for differential equation models

Predicted drug effects on the action potential vary significantly with different models

Ten simple rules for teaching sustainable software engineering

A Practical Guide to Large Amplitude Fourier-Transformed Alternating Current Voltammetry–What, How and Why

Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems

Simulating clinical trials for model-informed precision dosing: using warfarin treatment as a use case

A Bayesian nonparametric method for detecting rapid changes in disease transmission

Model-driven optimal experimental design for calibrating cardiac electrophysiology models

David Gavaghan Information

University

Position

Professor of Computational Biology

Citations(all)

38836

Citations(since 2020)

9438

Cited By

34749

hIndex(all)

58

hIndex(since 2020)

35

i10Index(all)

197

i10Index(since 2020)

99

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

David Gavaghan Skills & Research Interests

Computational science

software engineering

physiological and biological modelling

Top articles of David Gavaghan

Title

Journal

Author(s)

Publication Date

Understanding the impact of numerical solvers on inference for differential equation models

Journal of the Royal Society Interface

Richard Creswell

Katherine M Shepherd

Ben Lambert

Gary R Mirams

Chon Lok Lei

...

2024/3/6

Predicted drug effects on the action potential vary significantly with different models

Biophysical Journal

Hui Jia Farm

Michael Clerx

Fergus Cooper

Liudmila Polonchuk

Ken Wang

...

2024/2/8

Ten simple rules for teaching sustainable software engineering

arXiv preprint arXiv:2402.04722

Kit Gallagher

Richard Creswell

Ben Lambert

Martin Robinson

Chon Lok Lei

...

2024/2/7

A Practical Guide to Large Amplitude Fourier-Transformed Alternating Current Voltammetry–What, How and Why

ACS Measurement Science Au

Natalie Baranska

Bryn Jones

Mark Dowsett

Chris Rhodes

Darrell Elton

...

2024/4/4

Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems

Journal of the Royal Society Interface

Ben Lambert

Chon Lok Lei

Martin Robinson

Michael Clerx

Richard Creswell

...

2023/2/22

Simulating clinical trials for model-informed precision dosing: using warfarin treatment as a use case

Frontiers in Pharmacology

David Augustin

Ben Lambert

Martin Robinson

Ken Wang

David Gavaghan

2023/10/19

A Bayesian nonparametric method for detecting rapid changes in disease transmission

Journal of Theoretical Biology

Richard Creswell

Martin Robinson

David Gavaghan

Kris V Parag

Chon Lok Lei

...

2023/2/7

Model-driven optimal experimental design for calibrating cardiac electrophysiology models

Computer Methods and Programs in Biomedicine

Chon Lok Lei

Michael Clerx

David J Gavaghan

Gary R Mirams

2023/10/1

Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data

PLOS Computational Biology

David Augustin

Ben Lambert

Ken Wang

Antje-Christine Walz

Martin Robinson

...

2023/5/22

SUPPLEMENTARY FILE: AUTOCORRELATED MEASUREMENT

Ben Lambert

Chon Lok Lei

Martin Robinson

Michael Clerx

Richard Creswell

...

2023/1/17

Identification and attribution of weekly periodic biases in epidemiological time series data

medRxiv

Kit Gallagher

Richard Creswell

David Gavaghan

Ben Lambert

2023

Recovering biological electron transfer reaction parameters from multiple protein film voltammetric techniques informed by Bayesian inference

Journal of Electroanalytical Chemistry

Henry O Lloyd-Laney

Nicholas DJ Yates

Martin J Robinson

Alice R Hewson

Jessie Branch

...

2023/4/15

Utilising Fourier Transform Voltammetry to Advance the Enzyme Electrochemistry Toolkit

Electrochemical Society Meeting Abstracts 244

Henry Lloyd-Laney

Nicholas Yates

James Stapleton

Alice Hewson

Natalia Baranska

...

2023/12/22

Models of the cardiac L‐type calcium current: A quantitative review

Aditi Agrawal

Ken Wang

Liudmila Polonchuk

Jonathan Cooper

Maurice Hendrix

...

2023/1

EpiGeoPop: A Tool for Developing Spatially Accurate Country-level Epidemiological Models

arXiv preprint arXiv:2310.13468

Lara Herriott

Henriette L Capel

Isaac Ellmen

Nathan Schofield

Jiayuan Zhu

...

2023/10/20

Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment

Frontiers in pharmacology

Hui Jia Farm

Michael Clerx

Fergus Cooper

Liudmila Polonchuk

Ken Wang

...

2023/3/20

Epidemiological Agent-Based Modelling Software (Epiabm)

arXiv preprint arXiv:2212.04937

Kit Gallagher

Ioana Bouros

Nicholas Fan

Elizabeth Hayman

Luke Heirene

...

2022/12/7

Treatment response prediction: Is model selection unreliable?

bioRxiv

David Augustin

Ken Wang

Antje-Christine Walz

Ben Lambert

Michael Clerx

...

2022/3/21

Heterogeneity in the onwards transmission risk between local and imported cases affects practical estimates of the time-dependent reproduction number

Philosophical Transactions of the Royal Society A

R Creswell

D Augustin

I Bouros

HJ Farm

S Miao

...

2022/10/3

A multiple-technique approach to inferring bio-electrochemical reaction parameters

Henry Lloyd-Laney

Nick Yates

Martin Robinson

Alice R Hewson

Jess Branch

...

2022/3/2

See List of Professors in David Gavaghan University(University of Oxford)