David Barton
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David Barton Email & Phone Number

Professor of Computational and Experimental Mathematics at University of Bristol
Location: Bristol, England, United Kingdom 8 work roles 2 schools
1 work email found @bristol.ac.uk LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email d****@bristol.ac.uk
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Current company
Role
Professor of Computational and Experimental Mathematics
Location
Bristol, England, United Kingdom

Who is David Barton? Overview

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Quick answer

David Barton is listed as Professor of Computational and Experimental Mathematics at University of Bristol, based in Bristol, England, United Kingdom. AeroLeads shows a work email signal at bristol.ac.uk and a matched LinkedIn profile for David Barton.

David Barton previously worked as Faculty Admissions and Recruitment Officer at University Of Bristol and Reader in Engineering Mathematics at University Of Bristol. David Barton holds Phd, Nonlinear Dynamics from University Of Bristol.

Company email context

Email format at University of Bristol

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{first}.{last}@bristol.ac.uk
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AeroLeads found 1 current-domain work email signal for David Barton. Compare company email patterns before reaching out.

Profile bio

About David Barton

David Barton is a Professor of Computational and Experimental Mathematics at University of Bristol. He possess expertise in numerical simulation, mathematical modeling, scientific computing, dynamics, numerical analysis and 6 more skills.

Listed skills include Numerical Simulation, Mathematical Modeling, Scientific Computing, Dynamics, and 7 others.

Current workplace

David Barton's current company

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University of Bristol
University Of Bristol
Professor of Computational and Experimental Mathematics
Bristol, GB
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8 roles · 17 years

David Barton work experience

A career timeline built from the work history available for this profile.

Professor Of Computational And Experimental Mathematics

Current

Bristol, England, United Kingdom

Aug 2023 - Present

Faculty Admissions And Recruitment Officer

Current

Bristol, United Kingdom

Overall responsible for the recruitment and admissions to all undergraduate and postgraduate taught programmes in the Faculty of Engineering.

May 2017 - Present

Senior Lecturer

Bristol, United Kingdom

Senior Lecturer in Engineering Mathematics

Aug 2016 - Jul 2018

Lecturer

Bristol, United Kingdom

Lecturer in Engineering Mathematics

Nov 2010 - Aug 2016
Team & coworkers

Colleagues at University of Bristol

Other employees you can reach at bristolmotorspeedway.com. View company contacts →

2 education records

David Barton education

FAQ

Frequently asked questions about David Barton

Quick answers generated from the profile data available on this page.

What company does David Barton work for?

David Barton works for University of Bristol.

What is David Barton's role at University of Bristol?

David Barton is listed as Professor of Computational and Experimental Mathematics at University of Bristol.

What is David Barton's email address?

AeroLeads has found 1 work email signal at @bristol.ac.uk for David Barton at University of Bristol.

Where is David Barton based?

David Barton is based in Bristol, England, United Kingdom while working with University of Bristol.

What companies has David Barton worked for?

David Barton has worked for University Of Bristol and Duke University.

Who are David Barton's colleagues at University of Bristol?

David Barton's colleagues at University of Bristol include Richard H., Richard Maidment-Otlet, Muhunthan Nadarajah, Hannah Blackman, and Joseph Pereira.

How can I contact David Barton?

You can use AeroLeads to view verified contact signals for David Barton at University of Bristol, including work email, phone, and LinkedIn data when available.

What schools did David Barton attend?

David Barton holds Phd, Nonlinear Dynamics from University Of Bristol.

What skills is David Barton known for?

David Barton is listed with skills including Numerical Simulation, Mathematical Modeling, Scientific Computing, Dynamics, Numerical Analysis, Stochastic Modeling, Differential Equations, and Programming.

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