Find a Data Champion

Shujing Shi

PhD student

Areas Of Expertise:

R language, SQL, Data visualisation, Statistical analysis, Data collection, Sensitive data, Research data ethics, Surveys

Shujing (Jing) is a PhD student at the Institute of Criminology. Her primary research interests encompass organised crime, drug market, crime data, and social network analysis. Additionally, she has a diverse range of interests that extend to evidence-based policing, decision-making process, and experimental criminology.

Alex Gushurst-Moore

Research & Impact Coordinator, Fitzwilliam Museum

Areas Of Expertise:

Data visualisation, Data collection, Database design, Licensing, Copyright, Sensitive data, Research data ethics, Data protection and research, Data policies, Data storage, Institutional repositories, Open data, Digitisation, Social media & digital communications, Website development

Contact Information

ORCiD:

Biography

Alexandra Gushurst-Moore is the Research & Impact Coordinator of the Fitzwilliam Museum and Coordinator of Cambridge Visual Culture. Her doctoral thesis, entitled “The Making of Modern Fantasy in the Visual Arts of England, ca. 1850–1920”, was supervised by Elizabeth Prettejohn at the University of York. She holds an MA(Hons) from the University of Edinburgh and an MSt from the University of Oxford. Beyond her research, she has professional experience of and interest in British educational policy, the strategy and operation of HEIs and the facilitation of inclusive and supportive research cultures.

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

Can Jin, PhD

Researcher

Cambridge University Press & Assessment

Areas Of Expertise:

Data visualisation, Statistical analysis, Data collection, Copyright, Research data ethics, Data protection and research, REDCap, Workshop delivery, Other: Apollo (Cambridge University repository)

Contact Information

cj349@cam.ac.uk

My LinkedIn Profile

Biography

Can Jin completed her PhD in Education at the University of Cambridge and is currently a researcher at Cambridge University Press & Assessment. In this role, she supports good research practice, designs and manages research projects, conducts appropriate data analyses, and disseminates findings through reports, research papers, and presentations.

Darran Clements

Imaging Assistant

Wellcome–MRC Cambridge Stem Cell Institute

Areas Of Expertise:

Python, Data visualisation, Machine learning, Version control, Copyright, Discipline-specific repositories, Data sharing, Data archiving, Data preservation, Surveys, Imaging, Social media & digital communications, Website development

Contact Information

dkc25@cam.ac.uk

@darranclem

My LinkedIn Profile

Marlou Perquin

Research Associate

Clinical Neurosciences

Areas Of Expertise:

Python, Data visualisatio, Statistical analysis, Electronic Lab Notebooks, Data collection, R language, Experimental design, Sensitive data, Data storage, Discipline-specific repositories, Data sharing, Code sharing, Open data, Data archiving, Writing/publishing data papers, Imaging, Matlab, Workshop delivery

Contact Information

mnp28@medschl.cam.ac.uk

ORCiD:

0000-0001-9791-8202

Biography

Marlou is a Research Associate at Clinical Neurosciences, working at the Cambridge Centre for Frontotemporal Dementia and Related Disorders. Her background is in Psychology, with a specialism in intra-individual variability. She has experience in neuroimaging (specifically M/EEG), eye tracking, psychophysics/experimental design, and metacognition. In her current role, she oversees multi-modal, multi-site, and longitudinal projects in patients and healthy controls.

Matthew Evans

Yusuf Hamied Department of Chemistry

Areas Of Expertise:

Python, Data visualisation, Machine learning, Electronic Lab Notebooks, Laboratory Information Management System (LIMS), Data collection, Database design, Data architecture, Version control, Licensing Copyright, Git, Institutional repositories, Discipline-specific repositories, General repositories, Data sharing, Code sharing, Open data, FAIR Data, Data archiving, Writing/publishing data papers, Cheminformatics, Digitisation, Workshop delivery, Website development, Other programming languages

Contact Information

me388@cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-1182-9098

Biography

I'm a research fellow working to improve data management practices broadly across the materials and chemical sciences, with the aim to accelerate discovery and enable new data-driven approaches in the physical sciences. I lead the development of the decentralised open source RDM platform, datalab, used by several labs in Cambridge and beyond to track sample provenance, ingest raw characterisation data from instruments and easily disseminate data within and between labs. datalab has been designed primarily with materials chemistry and battery groups in mind, but has been extended to work for polymer research, direct air capture and autonomous labs. I also work extensively on API standardisation for crystal structure databases, via my involvement in OPTIMADE. I am very happy to discuss how people can engage with this work if they are in this domain, or how the approach could be adopted by other domains.

Before starting my current role, I completed my undergraduate studies in Theoretical Physics at the University of Manchester, after which I joined the University of Cambridge for an MPhil in Scientific Computing and subsequent PhD in Physics where I worked on crystal structure prediction for battery materials. I then joined UCLouvain in Belgium for a postdoc and research fellowship, before making my way back to Cambridge in 2025 as a Leverhulme Trust Early Career Research Fellow.

Postdoctoral Researcher in Human Genetics

Areas Of Expertise:

Python, Data visualisation, Data Management Plans, Electronic Lab Notebooks, Data collection, R language, Version control, Experimental design, Research data ethics, Data policies, Data storage, Git, General repositories, Data sharing, Code sharing, Open data, FAIR Data, Data archiving, Data preservation, Bioinformatics Website development

Contact Information

ts31@sanger.ac.uk

Biography

I am a postdoctoral researcher working on data and wet lab projects at the Wellcome Sanger Institute. I combine hands-on laboratory work with computational analysis, helping to generate, process, and interpret biological data. My work sits at the interface of experimental biology and data science.

Raquel Manzano

Bioinformatician

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Big data, Sensitive data, Code sharing, Data analysis, Bioinformatics, Coding, Python, R language, Git, Data visualisation, Data mining, Machine learning, Statistical analysis, Electronic Lab Notebooks, Data collection, Version control, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Workshop delivery

Contact Information

raquel.manzanogarcia@cruk.cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-5124-8992

Biography

I am bioinformatician who has been working in Cancer Research UK Cambridge Institute since 2017. I have a background in biology and have experience with HPC, version control, R and python, and confidential data. I work with big volumes of cancer patient data on a daily basis.

Additional areas of expertise:

High Performance Computing (HPC) - cluster.

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.

Shujing Shi

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Alex Gushurst-Moore

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Andrew Thwaites, PhD

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Can Jin, PhD

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Darran Clements

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Marlou Perquin

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Biography

Matthew Evans

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Biography

Postdoctoral Researcher in Human Genetics

Contact Information

Biography

Raquel Manzano

Contact Information

Biography

Tim Hearn

Contact Information

Biography

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