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Richard Mudd Email & Phone Number

Research Scientist at Meta

Location: Greater London, England, United Kingdom 5 work roles 2 schools

1 work email found @marksandspencer.com LinkedIn matched

✓ Verified July 2026 4 data sources Profile completeness 100%

Current company

Who is Richard Mudd? Overview

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Quick answer

Richard Mudd is listed as Research Scientist at Meta, a with 5 employees, based in Greater London, England, United Kingdom. AeroLeads shows a work email signal at marksandspencer.com and a matched LinkedIn profile for Richard Mudd.

Richard Mudd previously worked as Data Scientist at Marks And Spencer and Data Science Fellow at Science To Data Science. Richard Mudd holds Doctor Of Philosophy (Ph.D.) from University Of Birmingham.

Company email context

Email format at Meta

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{first}.{last}@marksandspencer.com

86% confidence

AeroLeads found 1 current-domain work email signal for Richard Mudd. Compare company email patterns before reaching out.

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Profile bio

About Richard Mudd

Richard Mudd is a Research Scientist at Meta. He possess expertise in data analysis, python, machine learning, statistics, statistical modeling and 18 more skills.

Listed skills include Data Analysis, Python, Machine Learning, Statistics, and 19 others.

Current workplace

Richard Mudd's current company

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Richard Mudd work experience

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

Research Scientist

Current

Data Scientist

Marks And Spencer

London, United Kingdom

Nov 2015 - Aug 2016

Data Science Fellow

Science To Data Science

London, United Kingdom

Aug 2015 - Sep 2015

Particle Physicist

Cern

Geneva Area, Switzerland

Sep 2011 - Sep 2015

Postgraduate Teaching Associate

University Of Birmingham

Birmingham, United Kingdom

Sep 2011 - Mar 2015

Team & coworkers

Colleagues at Meta

Other employees you can reach at metadownhole.com. View company contacts for 5 employees →

Ronjon Sarker Colleague at MetaDhaka, Bangladesh View → SK

Samantha Kassem Colleague at MetaSeattle, Washington, United States View → YC

Yuliia Chelombitko Colleague at MetaWarsaw, Mazowieckie, Poland View → CN

Chijioke Nwaoku Colleague at MetaPort Harcourt, Rivers State, Nigeria View → JK

Jakub K. Colleague at MetaMenlo Park, California, United States View → KH

Keeseok Hong Colleague at MetaSeattle, Washington, United States View → XG

Ximena Gonzalez Colleague at MetaSeattle, Washington, United States View → JM

Joe Mama Colleague at MetaLansing, Illinois, United States View → EM

Emmanuel M. Colleague at MetaOslo, Norway View → AZ

Avdey Zhdanov Colleague at MetaAlmaty, Kazakhstan View →

2 education records

Richard Mudd education

Doctor Of Philosophy (Ph.D.)

University Of Birmingham

Master Of Physics (Mphys)

The University Of Manchester

FAQ

Frequently asked questions about Richard Mudd

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

What company does Richard Mudd work for?

Richard Mudd works for Meta.

What is Richard Mudd's role at Meta?

Richard Mudd is listed as Research Scientist at Meta.

What is Richard Mudd's email address?

AeroLeads has found 1 work email signal at @marksandspencer.com for Richard Mudd at Meta.

Where is Richard Mudd based?

Richard Mudd is based in Greater London, England, United Kingdom while working with Meta.

What companies has Richard Mudd worked for?

Richard Mudd has worked for Meta, Marks And Spencer, Science To Data Science, Cern, and University Of Birmingham.

Who are Richard Mudd's colleagues at Meta?

Richard Mudd's colleagues at Meta include Ronjon Sarker, Samantha Kassem, Yuliia Chelombitko, Chijioke Nwaoku, and Jakub K..

How can I contact Richard Mudd?

You can use AeroLeads to view verified contact signals for Richard Mudd at Meta, including work email, phone, and LinkedIn data when available.

What schools did Richard Mudd attend?

Richard Mudd holds Doctor Of Philosophy (Ph.D.) from University Of Birmingham.

What skills is Richard Mudd known for?

Richard Mudd is listed with skills including Data Analysis, Python, Machine Learning, Statistics, Statistical Modeling, Programming, R, and Statistical Data Analysis.

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