Data Champions Search

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:

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.

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.

Izzy Newsham

PhD student

MRC Biostatistics Unit

Areas Of Expertise:

Python, R language, Git, Data visualisation, Big data, Machine learning, Bioinformatics

Contact Information

in268@cam.ac.uk

ORCiD:

0000-0003-0816-4045

Biography

I am a PhD student at the MRC Biostatistics Unit, interested in applying machine learning techniques to biological data. I have worked on classification of cancer (sub)types using XGBoost models. I am currently working on trying to uncover biological details about the immune system using graph data and graph machine learning.

Mark Fernandes

Bioinformatics Training Developer

Cancer Research UK Cambridge Institute

Areas Of Expertise:

File sharing systems, Big data, Discipline-specific repositories, Repositories (general), Licensing, Copyright, Sensitive data, Code sharing, Bioinformatics, RDM training, Coding, Python, R language, SQL, Git, Database design, Data storage, Workshop delivery, Social media and digital communications, Video editing, Website development

Contact Information

mark.fernandes@cruk.cam.ac.uk

@MAFatCRUK

My LinkedIn Profile

Biography

I have over 30 years experience of Scientific Computing. I have worked on Image analysis of Light Microscopy images, Scientific IT Support (13 years), Data-driven web applications of mathematical models and Bioinformatics Training at the Institute of Food Research (Now the Quadram Institute). I have been involved in an EU Framework Database Workshop. I strive to include good data-handling and reproducibility practices into all training materials.

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.

Abdulwahab Alshallal

Contact Information

Biography

Ali Abbas, PhD

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Biography

Hugo P. Bastos, PhD

Contact Information

Biography

Izzy Newsham

Contact Information

Biography

Mark Fernandes

Contact Information

Biography

Raquel Manzano

Contact Information

Biography

Winnie Lei

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Biography

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