Data Champions Search

Ali Abbas, PhD

Senior Data Scientist, MRC Epidemiology Unit

Areas Of Expertise:

Python, R language, Git, SQL, C/C++/C# language, Java, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Version control, Data sharing, Code sharing, Open data, FAIR Data, Writing/publishing data papers, Geospatial data

Contact Information

aa797@cam.ac.uk

Biography

Ali is Senior Data Scientist and public-health/transport modeller in the Public Health Modelling (PHM) group at the MRC-Epidemiology Unit, University of Cambridge. He is interested in active travel, specifically cycling research.

Coming from a Computer Science background, with a focus on modelling in his PhD, for over a decade, he has been doing data-driven research and development. This includes Exploratory Data Analysis (EDA), Statistical Modelling (or Machine Learning), Interactive Visualization, all with a focus on collaborative, transparent and reproducible research. In addition, he leads in project management and managing, training, guiding, and teaching of junior staff in his Unit. His work can be seen on GitHub at https://github.com/usr110.

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

Andrzej Harris, PhD

Research Associate

Department of Biochemistry

Areas Of Expertise:

Python, Matlab, Data visualisation, Data collection, Experimental design, Data sharing, Data archiving, Bioinformatics

Contact Information

ORCiD:

Biography

I am a Research Associate in the Department of Biochemistry, where I specialise in electron cryo-microscopy (cryo-EM). I use cryo-EM data for the reconstruction and computational modelling of antibiotic transport by bacterial tripartite efflux pumps and related membrane proteins.

Anna Morros-Nuevo

PhD candidate

Areas Of Expertise:

R language, Data collection, Data sharing, Code sharing

Contact Information

am2956@cam.ac.uk

My LinkedIn Profile

ORCiD:

0009-0007-0309-3811

Biography

I am a part-time PhD student and part-time veterinarian. My research is about the genetics of obesity in dogs, which is also relevant to human genetics genetic and physiological similarities, and shared environmental factors. I am particularly interested in bringing better data management standards to the veterinary field, specially in clinical research.

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

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

Elizabeth Smith

Associate Editor for Digital Development, Cambridge University Library

Areas Of Expertise:

Git, Version control, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Textual data

Contact Information

els47@cam.ac.uk

@ElizabethLSmit1

ORCiD:

0000-0002-2711-2390

Biography

Elizabeth has an MPhil in HPS from Cambridge and has worked for the Newton Project Canada. She has worked for the Darwin Correspondence Project for more than fifteen years, and assisted in the conversion of the Project's core files to TEI XML, and is now developing and implementing strategies to ensure the quality, robustness, interoperability, and long-term viability of our electronic data. She is a co-founder of Epsilon, a nineteenth century science letters platform and has been a guest lecturer at the Digital Humanities at Oxford Summer School.

Gita Khalili Moghaddam

Principal Investigator

Areas Of Expertise:

Coding, Matlab, C/C++/C# language, Data analysis, Data visualisation, Ethics and the Law, Sensitive data, Research data ethics, Data protection and research, Data policies, Sharing and Storage, Data sharing, Specific techniques and software, Imaging, Audiovisual data

Contact Information

ORCiD:

Biography

Specialising in AI-driven diagnostics, precision medicine, and HealthTech innovation

Hugo Tavares, PhD

Postdoctoral Research Associate

Department of Genetics

Bioinformatics Training Facility

Areas Of Expertise:

Bioinformatics, Coding, Python, R language, Git, Data analysis, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Data collection, Experimental design, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Code sharing, Open data, Workshop delivery

Contact Information

hm533@cam.ac.uk

Biography

Additional areas of expertise:

Plant science, Quantitative genetics.

Itamar Shatz

Research Associate, Cambridge Digital Humanities

Department of Theoretical and Applied Linguistics

Areas Of Expertise:

Data analysis, Data wrangling, Data sharing, Science communication, Python, R language, Statistical analysis, Open data, Writing/publishing data papers, Textual data, Social media and digital communications, Website development

Contact Information

ORCiD:

Biography

I primarily work with large-scale language datasets, using methods from quantitative and computational social sciences, as well as the digital humanities. I also teach associated research methods, like statistics, data wrangling, and visualization.

Outside my research, I am an active science communicator, primarily via two websites that I author: Effectiviology (https://effectiviology.com/), where I write about psychology and philosophy that have practical applications, and Solving Procrastination (https://solvingprocrastination.com/), where I write about what procrastination is, why we do it, and how to overcome it.

As a Data Champion, I focus on the use of quantitative and computational methods for working with data (e.g., for data wrangling and statistical analyses). I also deal with associated topics, like maximizing the impact of research through open research and science communication.

Ali Abbas, PhD

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Biography

Andrew Thwaites, PhD

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Biography

Andrzej Harris, PhD

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Biography

Anna Morros-Nuevo

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Biography

Darran Clements

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Dequn Teng

Contact Information

Biography

Elizabeth Smith

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Biography

Gita Khalili Moghaddam

Contact Information

Biography

Hugo Tavares, PhD

Contact Information

Biography

Itamar Shatz

Contact Information

Biography

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