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.

Andrew Gill, PhD

Research Associate

Areas Of Expertise:

Python, Matlab, Data Management Plans, Data collection, Research data ethics, Data storage, Discipline-specific repositories, Imaging

Contact Information

abg28@cam.ac.uk

ORCiD:

0000-0002-9287-9563

Biography

I am a post-doctoral physicist working in the Department of Radiology, with a background in programming and a particular interest in medical image analysis and software design. I am currently involved in setting up and maintenance of processes for data storage, sharing and archiving for the department - with particular emphasis on medical research image data.

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

My LinkedIn Profile

Biography

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.

Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

Michael Moore

Research Laboratory Technician

Materials Science and Metallurgy

Contact Information

mm2823@cam.ac.uk

My LinkedIn Profile

Biography

Hi I'm Michael, I was appointed the new Research Laboratory Technician within the CCMM group at the Department of Materials Science and Metallurgy. I have a BSc in Chemistry and an MSc in Nanomaterials and Materials Science but what I am passionate about is computers whether that be software or hardware. I am always looking to advance my skills and help others do so which is why I joined the Data Champions.

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.

Tirtharaj Dash

Research Associate

Areas Of Expertise:

Python, Git, SQL, Matlab, Other programming languages, C/C++/C# language, Machine learning, Statistical analysis, Research data ethics, General repositories, Data sharing, Code sharing, Open data, FAIR Data, Writing/publishing data papers, Cheminformatics, Bioinformatics, Textual data

Contact Information

td522@cam.ac.uk

Website

ORCiD:

0000-0001-5965-8286

Biography

I am a Research Associate at the University of Cambridge, UK. I am also a Postdoctoral Affiliate of Trinity College, Cambridge. I am currently working on several exciting research problems concerning codon usage, optimality and, in general, knowledge discovery from large-scale genomic data. I am focusing on developing novel ML approaches, such as Neuro-Symbolic Models and Deep Neural Networks, to learn from genomic sequences. For more details, please visit my homepage, which is usually updated often: https://tirtharajdash.github.io/

Abdulwahab Alshallal

Contact Information

Biography

Andrew Gill, PhD

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Biography

Andrew Thwaites, PhD

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Biography

Darran Clements

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Dequn Teng

Contact Information

Biography

Michael Moore

Contact Information

Biography

Raquel Manzano

Contact Information

Biography

Tirtharaj Dash

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Biography

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