Find a Data Champion

Jonathan Birchall, PhD

Research Associate

Department of Radiology

Areas Of Expertise:

Git, Matlab, Data visualisation, Big data, Statistical analysis, Data collection, Data architecture, Version control, Experimental design, Data storage, Code sharing, Writing/publishing data papers, Surveys, Imaging, Textual data, Digital illustration

Contact Information

jb2455@cam.ac.uk

ORCiD:

0000-0003-3920-4038

Biography

I am currently a Research Associate in the Gallagher Group, where my goals are to develop novel screening techniques for cancer using pre-clinical hyperpolarised 13C-MRI, with an aim towards evaluation, documentation and eventual translation of these techniques into human imaging. This work is jointly funded by the University and The National Cancer Imaging Translational Accelerator (NCITA), where I am a member of the QA/QC Unit responsible for developing Standard Operating Procedures and performing data analysis on NCITA exemplar studies towards the creation of an MRI Core Lab.

I received my PhD from the University of Nottingham in 2017, researching experimental methods for improving 129Xe hyperpolarisation with an application to clinical functional lung imaging. I continued in a postdoctoral role for one year, performing QA/QC duties for the clinical Hyperpolarised Imaging Lung Facility (HILF), before moving to Wayne State University, Detroit, USA to take up a 2.5 year postdoctoral role developing pre-clinical hyperpolariser technologies for 13C, 15N and 129Xe.

I have always had a passion for statistics and communication, and as a Data Champion in the Department of Radiology, I hope that I can collaborate with my peers across a diverse range of projects, advocating for good record-keeping, analysis, dissemination and other facets of research data management.

Abdulwahab Alshallal

PhD Student

Areas Of Expertise:

Python, R language, Data visualisation, Big data, Statistical analysis, Research data ethics, Writing/publishing data papers

Contact Information

ORCiD:

Biography

Abdulwahab is a PhD student in Physical Activity Epidemiology, advised by Dr. Soren Brage at the MRC Epidemiology Unit, University of Cambridge. He is a recipient of the Kuwaiti High Science Achiever PhD Scholarship by the Kuwait Foundation for the Advancement of Sciences and the Kuwait Chamber of Commerce and Industry and was previously awarded a full Bachelor's and Master's Scholarship from the Kuwait Ministry of Higher Education. His interests lie in the analysis of accelerometer-measured physical activity data in different populations and related disease endpoints. He previously studied adolescent physical activity behavior in relation to mental well-being. His current research interest is in the analysis of physical activity behavior in the Arabian Gulf in relation to metabolic disease incidence.

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.

Davide Chiarugi, PhD

Head of Bioinformatics

Institute of Metabolic Science

Areas Of Expertise:

Big data, Data analysis, Bioinformatics, Statistics, R language, Matlab, Coding, Data visualisation, Statistical analysis

Contact Information

dc702@medschl.cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0003-2752-3189

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.

Máté Aller, PhD

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

ORCiD:

0000-0001-7096-5180

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.

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.

Winnie Lei

PhD Student

Areas Of Expertise:

Python, R language, SQL, Data visualisation, Machine learning, Statistical analysis, Data sharing, Open data, Imaging, Bioinformatics

Contact Information

ORCiD:

Biography

I am a 2nd-year PhD student in computational biology. Currently, I am developing machine learning applications in studying disease mechanisms using omics integration and analysis at the Department of Surgery and the Milner Therapeutic Institute.

Jonathan Birchall, PhD

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Biography

Abdulwahab Alshallal

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Biography

Ali Abbas, PhD

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Biography

Davide Chiarugi, PhD

Contact Information

Hugo P. Bastos, PhD

Contact Information

Biography

Máté Aller, PhD

Contact Information

Biography

Raquel Manzano

Contact Information

Biography

Winnie Lei

Contact Information

Biography

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