Find a Data Champion

Amelie Roper, PhD

Research Facilitator

Cambridge University Library

Areas Of Expertise:

Big data, Repositories (general), Institutional repositories, Licensing, Copyright, Sensitive data, Research data ethics, Data protection and research, Data policies, Data Management Plans, Digitisation, Workshop delivery, Website development

Contact Information

alr39@cam.ac.uk

@amelieroper

ORCiD:

0000-0003-3239-2208

Biography

Amelie Roper is Research Facilitator at Cambridge University Library. Her role involves supporting grant applications for research funding for library activities, and assisting with project delivery once funding is awarded.

She studied music at King’s College London and Library and Information Studies at University College London. She also holds a PhD in book history from the University of St Andrews.

Her research interests include early modern European print culture, digital music publishing and big data.

Andrew Thwaites, PhD

Visiting Scientist

Department of Psychology

Areas Of Expertise:

Bioinformatics, Data sharing, Big data, Coding, Python, R language, SQL, Git, Matlab, Java, Data visualisation, Machine learning, Statistical analysis, Data Management Plans, Data policies, Data archiving, Code sharing, Open data, Imaging, Illustration, Website development

Contact Information

acgt2@cam.ac.uk

ORCiD:

0000-0002-6237-7140

Biography

Additional areas of expertise:

Neuroscience data

Dace Apšvalka

Research Associate

MRC Cognition and Brain Sciences Unit

Areas Of Expertise:

Python, Data visualisation, Big data, Machine learning, Statistical analysis, Data collection, R language, Version control, Experimental design, Data storage, Git, Data sharing, Code sharing, Open data, FAIR Data, Writing/publishing data papers, SQL, Imaging, Video editing, Digital illustration, Matlab, Workshop delivery, Website development, Other programming languages

Contact Information

ORCiD:

Biography

I work in cognitive neuroscience and neuroimaging, with a strong focus on research data management, reproducible analysis, and open science practices. Before training in cognitive neuroscience, I was educated in computer science and trained as a systems analyst, which continues to shape how I approach research data, workflows, and computational methods. In my current work, I focus on brain imaging data, including data organisation in BIDS (Brain Imaging Data Structure), preprocessing and analysis pipelines, and the development of practical training materials to support researchers in using modern computational tools and adopting good data practices.

Roberto Ragno

Marie Sklodowska-Curie European Fellow

McDonald Institute for Archaeological Research

Areas Of Expertise:

Big data, Statistical analysis, Data collection, Database design, R language, Data architecture, Version control, Licensing, Git, General repositories, Data sharing, Code sharing, Open data, FAIR Data, Data archiving, Data preservation, Writing/publishing data papers, Surveys, Geospatial data, Website development, Other programming languages

Contact Information

ORCiD:

Biography

Roberto Ragno is a Marie Sklodowska-Curie European Fellow at the McDonald Institute for Archaeological Research. His primary area of expertise is the application of Bayesian statistical modelling to archaeological data, with a focus on long-term human–environment dynamics in the Roman Mediterranean. He is committed to open and reproducible research practices, including the publication of open-access datasets, code repositories, and software workflows.

Tim Hearn

Principal Investigator

Department of Genomic Medicine

Areas Of Expertise:

Python, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Data Management Plans, Electronic Lab Notebooks, Laboratory Information Management System (LIMS), Data collection, Database design, R language, Data architecture, Version control, Experimental design, Sensitive data, Git, Discipline-specific repositories, Data sharing, Code sharing, Open data, FAIR Data, Data archiving, Data preservation, Writing/publishing data papers, SQL, Imaging, Bioinformatics, Textual data, Matlab, Digitisation, Workshop delivery, Website development Visual Basic

Contact Information

tjh70@cam.ac.uk

ORCiD:

0000-0001-6827-4196

Biography

Tim Hearn is a PI in the Department of Genomic Medicine where he runs the Chronomic Medicine group. He teaches extensively in bioinformatics, data science and reproducibility. Tim is passionate about teaching researchers about reproducibility principles.

Amelie Roper, PhD

Contact Information

Biography

Andrew Thwaites, PhD

Contact Information

Biography

Dace Apšvalka

Contact Information

Biography

Roberto Ragno

Contact Information

Biography

Tim Hearn

Contact Information

Biography

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