Royce Copley
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Royce Copley Email & Phone Number

Lecturer in Data Science and AI at Sheffield Hallam University
Location: Greater Sheffield Area, United Kingdom, United Kingdom 7 work roles 3 schools
1 work email found @tratos.co.uk LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email r****@tratos.co.uk
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Current company
Role
Lecturer in Data Science and AI
Location
Greater Sheffield Area, United Kingdom, United Kingdom
Company size

Who is Royce Copley? Overview

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Quick answer

Royce Copley is listed as Lecturer in Data Science and AI at Sheffield Hallam University, a company with 6560 employees, based in Greater Sheffield Area, United Kingdom, United Kingdom. AeroLeads shows a work email signal at tratos.co.uk and a matched LinkedIn profile for Royce Copley.

Royce Copley previously worked as Ultrasonic Innovation Scientist at Tribosonics and Research Associate at The University Of Sheffield. Royce Copley holds Doctor Of Philosophy - Phd, Mechanical Engineering from The University Of Sheffield.

Company email context

Email format at Sheffield Hallam University

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{first}{last}@tratos.co.uk
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AeroLeads found 1 current-domain work email signal for Royce Copley. Compare company email patterns before reaching out.

Profile bio

About Royce Copley

Royce Copley is a Lecturer in Data Science and AI at Sheffield Hallam University. They possess expertise in mathematics, creative problem solving, matlab, web design, account management and 1 more skills.

Listed skills include Mathematics, Creative Problem Solving, Matlab, Web Design, and 2 others.

Current workplace

Royce Copley's current company

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Sheffield Hallam University
Sheffield Hallam University
Lecturer in Data Science and AI
Sheffield, GB
Website
Employees
6560
AeroLeads page
7 roles · 31 years

Royce Copley work experience

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Ultrasonic Innovation Scientist

Current

Sheffield, England, United Kingdom

2024 - Present ~2 yrs 4 mos

Research Associate

Sheffield, England, United Kingdom

  • Worked on a project to innovate, digitise and automate mRNA manufacturing and production processes to improve therapy and pandemic preparedness. Specifically working in the development of bespoke software for real-time.
  • Online, advanced analysis from sensors installed in mRNA manufacturing lab equipment. A novel algorithm was created to identify and label peaks in a ‘live’ signal and measure the developing area under the curve, all in.
  • Creation of historic data analysis tools, for example, image processing techniques were used to develop an enhanced software visualisation tool for mRNA sequence mapping. This tool provides much deeper insights than.
  • Designing UI and building Python code for deployment of an online web-app for users to access the tools online.
  • Delivered lectures and workshops for two years on the topic ‘Data Visualisation/Analysis For Engineers and Scientists’ to fourth year Chemical Engineering MEng students as part of the Computational Modelling module.
2022 - 2024 ~2 yrs

Phd Student

Sheffield, England, United Kingdom

  • Instrumentation of ultrasonic sensors on lithium-ion batteries. Batteries were charge cycled and measurements of ultrasound pulse responses were taken during the tests. From these measurements, signal processing was.
  • Advanced visualisations created to clearly show relationships between ultrasound signal and battery charge. UI was created in MATLAB to enable repeat analysis checking different signal peaks or signal envelopes..
  • A ‘smart peak’ tracking method was developed to ensure that the signal peak best correlating with battery state of charge is identified. This was considered necessary as the signal is very sensitive to small changes.
  • Modelling was created based on the ‘wave equation’ to simulate waves passing through many layers such as those in a lithium-ion battery. This helped greatly in understanding wave behaviour where waves span multiple.
  • A genetic algorithm was developed to reverse engineer a single ultrasound wave response. Taking just a portion of a pulse/echo response, a method for predicting > refining > predicting the internal layered structure of.
2017 - 2022 ~5 yrs

Sales And Marketing

Chesterfield, United Kingdom

1995 - 2011 ~16 yrs
3 education records

Royce Copley education

FAQ

Frequently asked questions about Royce Copley

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

What company does Royce Copley work for?

Royce Copley works for Sheffield Hallam University.

What is Royce Copley's role at Sheffield Hallam University?

Royce Copley is listed as Lecturer in Data Science and AI at Sheffield Hallam University.

What is Royce Copley's email address?

AeroLeads has found 1 work email signal at @tratos.co.uk for Royce Copley at Sheffield Hallam University.

Where is Royce Copley based?

Royce Copley is based in Greater Sheffield Area, United Kingdom, United Kingdom while working with Sheffield Hallam University.

What companies has Royce Copley worked for?

Royce Copley has worked for Sheffield Hallam University, Tribosonics, The University Of Sheffield, University Of Derby, and Modular Wiring Systems Ltd.

How can I contact Royce Copley?

You can use AeroLeads to view verified contact signals for Royce Copley at Sheffield Hallam University, including work email, phone, and LinkedIn data when available.

What schools did Royce Copley attend?

Royce Copley holds Doctor Of Philosophy - Phd, Mechanical Engineering from The University Of Sheffield.

What skills is Royce Copley known for?

Royce Copley is listed with skills including Mathematics, Creative Problem Solving, Matlab, Web Design, Account Management, and Manufacturing.

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