Data Champions Search

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.

Alfredo Cortell-Nicolau, PhD

Marie Curie European Research Fellow

McDonald Institute for Archaeological Research

Areas Of Expertise:

R language, SQL, Visual Basic, Data visualisation, Data mining, Statistical analysis, Database design, Open data, Geospatial data, Video editing

Contact Information

ac2320@cam.ac.uk

@cortellnicolau

ORCiD:

0000-0003-1982-6403

Biography

I am an archaeologist focused in Culture Evolution, Computational Archaeology and mathematical and spatial analysis applied to Archaeology and Prehistory. I also advocate for collaborative science, open research and scientific reproducibility, as one of the best ways to improve scientific outcomes

Christos Nikolaou

PhD Student

Areas Of Expertise:

R language, Data visualisation, Statistical analysis, Data Management Plans, Data collection, Database design, Data architecture, Data archiving, Writing/publishing data papers, Geospatial data

Contact Information

cn399@cam.ac.uk

ORCiD:

0009-0007-1638-9283

Biography

PhD Student in Archaeology, working with mapping distributions of religious artefacts in Hellenistic sites in Afghanistan and Pakistan

Dequn Teng

PhD Candidate, Department of Engineering

Areas Of Expertise:

Python, SQL, Matlab, Machine learning, Statistical analysis, Data collection, Database design, Copyright, Data sharing, Code sharing, Open data, Imagin

Contact Information

dt517@cam.ac.uk

Website

My LinkedIn Profile

Biography

Dequn Teng (he/him) is a third-year Ph.D. candidate in Engineering at the University of Cambridge’s Institute for Manufacturing (IfM), Centre for Technology Management. His doctoral research examines human–algorithm interactions' effects on analytical creativity in algorithmic trading, funded by Cambridge Trust. His long-term research identity focuses on emerging algorithmic innovations' effects on strategic value creation, bridging insights from computer engineering, technology management, and organizational strategy. He also serves as a Research Assistant in the International Business and Strategy Group at the CJBS, where he contributes to research on regenerative innovations and strategies.

Prior to his Ph.D., Dequn completed an MPhil in Engineering (IfM, University of Cambridge) under Prof. Veronica Martinez, focusing on supply chain risk modeling with machine learning–enabled blockchain systems. He earned a first-class honors degree in Computer Science and Electrical Engineering from the University of Liverpool (2+2 routine) and further enriched his expertise as a visiting student at Stanford University.

Beyond academia, Dequn has gained industry experience through roles at Deutsche Bank and Unilever, as well as through venture creation activities at the Entrepreneurship Centre at CJBS. He is also the Vice President of the Cambridge Algorithmic Trading Society (CUATS), fostering interdisciplinary collaboration in algorithmic trading research and practice.

As an educator, Dequn supervise industrial engineering, strategic management, and marketing, and leads coding and analytics sessions—including Brainteaser and LeetCode sessions—within the CUATS, cultivating interactive learning experiences at the intersection of technology, strategy, and innovation.

Publications

Emma Harrison

Data Manager, Clinical Neurosciences

Areas Of Expertise:

Data Management Plans, Laboratory Information Management System (LIMS), Data collection, Database design, Sensitive data, Data protection and research, Data sharing, Surveys, REDCap

Contact Information

eh435@cam.ac.uk

Biography

After completing my undergraduate degree in psychology, I spent several years working within the NHS and the charity sector, before moving into clinical research (Department of Oncology) in 2011. During this tenure I worked as a research assistant and latterly senior data manager, working across a variety of research and clinical systems (including OpenClinica, Achiever Medical and EDGE), gaining valuable experience in data approaches to research and governance. During this time I also completed a MSc in Psychological Research Methods. My knowledge and understanding of NHS systems was furthered during a secondment to the eHospital team, which facilitated the transition of Cambridge University NHS Foundation Trust to a fully electronic medical health record system (EPIC), the first of its kind in the UK.

I joined the Department of Clinical Neurosciences in 2020, bringing a wealth of experience in the collection and management of clinical data from my time in Oncology. I currently work with the clinical and laboratory teams and external stakeholders to design, create and deliver streamlined methods for the prospective collection of high quality clinical and sample data.

Gabriel Reder

Postdoctoral Research Associate

Chemical Engineering and Biotechnology

Areas Of Expertise:

Python, R language, Git, Other programming languages, Big data, Data mining, Machine learning, Electronic Lab Notebooks, Laboratory Information Management System (LIMS), Database design, Data architecture, Version control, Data storage, Code sharing, Cheminformatics, Bioinformatics, Textual data

Contact Information

gr513@cam.ac.uk

ORCiD:

0000-0001-8918-0789

Biography

I am a postdoctoral research associate in the Chemical Engineering and Biotechnology Department focusing on automation of laboratory biological research using a combination of AI, informatics, lab robotics, and software engineering. I have previously worked on metabolomic systems biology with mass spectrometry analysis. Currently, my interests are especially focused on the intersection of knowledge representation, generative AI, and symbolic methods for automating scientific discovery.

Hugo P. Bastos, PhD

Postdoctoral Research Associate, Haematology/Cambridge Stem Cell Institute

Areas Of Expertise:

Python, R language, SQL, Data visualisation, Machine learning, Statistical analysis, Database design, Data storage, Bioinformatics

Contact Information

hpb29@cam.ac.uk

ORCiD:

0000-0002-8072-4070

Biography

I provide Bioinformatic support for a few research groups in the Cambridge Stem Cell Institute. For the most part I deal with the analysis of single cell sequencing data, storage management of such data and the deployment of data processing pipelines into HPC environments.

Janina Schupp, PhD

Affiliated Lecturer and Research Associate

Department of Architecture

Areas Of Expertise:

Data mining, Data collection, Database design, Data sharing, Audiovisual data, Workshop delivery, Video editing

Contact Information

js2034@cam.ac.uk

Biography

I am an Affiliated Lecturer in Architecture and the Moving Image and a researcher working with large audio-visual datasets. I specialise in developing digital methodologies and database approaches for film and media research. I am currently the main researcher of the ‘CineMuseSpace: A Cinematic Musée Imaginaire of Spatial Cultural Differences’ project (cinemusespace.com).

Additional areas of expertise:

Audio-visual data analysis, film databases, metadata ontologies.

Junaid Abdul Jabbar

Research Assistant, Database Developer

Areas Of Expertise:

Python, Git, SQL, Data Management Plans, Data collection, Database design, Data storage, FAIR Data, Data archiving, Data preservation, Surveys, Geospatial data, Digitisation

Contact Information

ORCiD:

Biography

I am a Geoinformatics Engineer. I have been actively contributing to the geospatial domain in both Academia and Industry since 2015. During this time I have used my expertise to make end-to-end solutions from data acquisition, data management and provision of services in the application areas of Urban planning, Vehicle tracking, Rescue services, Location based services and Archaeology.

Junaid Bhatti

Research Development and Innovation Manager

Department of Psychiatry

Areas Of Expertise:

SQL, Data Management Plans, Data collection, Database design, Data architecture, Sensitive data, Research data ethics, Data protection and research, Discipline-specific repositories, Data sharing, Data archiving, Open data, Surveys, Imaging, Textual data, REDCap, Socal media and digital communications, Video editing, Illustration, Website development

Contact Information

jb898@medschl.cam.ac.uk

Biography

I’ve been working in the Department of Psychiatry for almost a decade now. I specialise in improving process and workflow and in research data management. I also work in branding, digital recruitment, website design and administration, social media management, and data architecture. I am particularly good at thinking of new and creative solutions to emerging problems. I am currently working on ways to govern and organise the many research projects within my department and in the School of Clinical Medicine, and on creating ways to share research and imaging data (MRI, PET etc) openly.

Alex Gushurst-Moore

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Biography

Alfredo Cortell-Nicolau, PhD

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Christos Nikolaou

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Dequn Teng

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Biography

Emma Harrison

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Biography

Gabriel Reder

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Biography

Hugo P. Bastos, PhD

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Biography

Janina Schupp, PhD

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Biography

Junaid Abdul Jabbar

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Biography

Junaid Bhatti

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