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

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

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.

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

Gregory Serapio-García

PhD Student

Department of Psychology

Areas Of Expertise:

File sharing systems, Big data, Code sharing, Data analysis, Coding, Python, R language, SQL, Git, Data mining, Machine learning, Statistical analysis, Data storage, Surveys, Textual data, Geospatial data

Contact Information

gs639@cam.ac.uk

@gregserapio

ORCiD:

0000-0002-1890-2331

Biography

I'm a PhD student and Gates Cambridge Scholar studying psychology at St John's College. Broadly, I examine the psychometric properties of Internet big data; my current research explores how social media data predict personality traits and dimensions of mental illness. In general, I'm interested in social data science, the overlap of clinical disorders with everyday personality traits, and personality differences across cultures.

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.

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.

Máté Aller

Research Associate

MRC Cognition and Brain Sciences Unit

Areas Of Expertise:

Python, Git, Matlab, Data visualisation, Data mining, Machine learning, Statistical analysis, Data collection, Version control, Experimental design, Data storage, Data sharing, Code sharing, Open data, Imaging

Contact Information

mate.aller@mrc-cbu.ac.uk

Website

My LinkedIn Profile

Biography

I am a neuroscientist studying human speech perception with the aim of advancing assistive speech (neuro)technologies and AI speech recognition systems. My background is in cognitive neuroscience and medicine.

I am an expert in human neurophysiology methods (electro- and magnetoencephalography, EEG/MEG) combined with machine learning and artificial neural network modelling (deep learning).

Since the beginning of my PhD, I’ve been passionate about reproducible and open science practices such as data and code sharing, and good coding practices including version control. In my department I am leading the adoption of the standardised Brain Imaging Data Structure (BIDS) for storing and sharing human neurophysiology (MEG/EEG) data.

Ali Abbas, PhD

Contact Information

Biography

Andrew Thwaites, PhD

Contact Information

Biography

Darran Clements

Contact Information

Dequn Teng

Contact Information

Biography

Gabriel Reder

Contact Information

Biography

Gita Khalili Moghaddam

Contact Information

Biography

Gregory Serapio-García

Contact Information

Biography

Hugo P. Bastos, PhD

Contact Information

Biography

Hugo Tavares, PhD

Contact Information

Biography

Máté Aller

Contact Information

Biography

Filter by area of expertise

Filter by research communities:

Study at Cambridge

About the University

Research at Cambridge