Amos Lawless
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Amos Lawless Email & Phone Number

Professor of Data Assimilation at University of Reading
Location: Reading, England, United Kingdom 9 work roles 3 schools
2 work emails found @reading.ac.uk LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email a****@reading.ac.uk
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Current company
Role
Professor of Data Assimilation
Location
Reading, England, United Kingdom

Who is Amos Lawless? Overview

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Quick answer

Amos Lawless is listed as Professor of Data Assimilation at University of Reading, based in Reading, England, United Kingdom. AeroLeads shows a work email signal at reading.ac.uk and a matched LinkedIn profile for Amos Lawless.

Amos Lawless previously worked as Associate Professor of Data Assimilation and Inverse Problems at University Of Reading and Lecturer in Data Assimilation at University Of Reading. Amos Lawless holds Phd from University Of Reading.

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Email format at University of Reading

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{first_initial}{last}@reading.ac.uk
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AeroLeads found 2 current-domain work email signals for Amos Lawless. Compare company email patterns before reaching out.

Profile bio

About Amos Lawless

My expertise is in the mathematical theory of data assimilation and its application in Earth observation, with a particular interest in four-dimensional variational data assimilation (4D-Var) techniques. Along with my colleague Sarah Dance, I co-lead the Data Assimilation Research Centre at the University of Reading and the Data Assimilation division of the UK National Centre for Earth Observation (NCEO). I am passionate about the training and development of early career scientists and bring that into my role as Training Lead of NCEO.

Listed skills include Numerical Analysis, Mathematical Modeling, Applied Mathematics, Scientific Computing, and 12 others.

Current workplace

Amos Lawless's current company

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University of Reading
University Of Reading
Professor of Data Assimilation
Reading, GB
AeroLeads page
9 roles

Amos Lawless work experience

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

Associate Professor Of Data Assimilation And Inverse Problems

I have a joint position between the Department of Mathematics and Statistics and the Department of Meteorology.

Oct 2016 - Jul 2022

Lecturer In Data Assimilation

I have a joint position between the Department of Mathematics and Statistics and the Department of Meteorology.

Nov 2010 - Sep 2016

Research Fellow

Research fellow in the Department of Mathematics, as part of the National Centre for Earth Observation.

Jun 2001 - Oct 2010

Research Scientist

1992-1994 Scientist in numerical methods group. Developed code for dynamical core of operational model.1994-2001 Scientist in data assimilation research and development group. Responsible for coding and development of a major part of the Met Office data assimilation system.

Sep 1992 - Jun 2001
3 education records

Amos Lawless education

'O' And 'A' Levels

Bolton School
FAQ

Frequently asked questions about Amos Lawless

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What company does Amos Lawless work for?

Amos Lawless works for University of Reading.

What is Amos Lawless's role at University of Reading?

Amos Lawless is listed as Professor of Data Assimilation at University of Reading.

What is Amos Lawless's email address?

AeroLeads has found 2 work email signals at @reading.ac.uk for Amos Lawless at University of Reading.

Where is Amos Lawless based?

Amos Lawless is based in Reading, England, United Kingdom while working with University of Reading.

What companies has Amos Lawless worked for?

Amos Lawless has worked for University Of Reading, National Centre For Earth Observation, and Met Office.

How can I contact Amos Lawless?

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

What schools did Amos Lawless attend?

Amos Lawless holds Phd from University Of Reading.

What skills is Amos Lawless known for?

Amos Lawless is listed with skills including Numerical Analysis, Mathematical Modeling, Applied Mathematics, Scientific Computing, Science, Data Assimilation, Matlab, and Latex.

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