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.

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

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/

Ulla Sovio, PhD

Senior Research Associate

Department of Obstetrics & Gynaecology

Areas Of Expertise:

Data analysis, Statistical analysis, Data collection, Experimental design, Sensitive data, Data protection and research, Sociall media and digital communications

Contact Information

us253@medschl.cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-0799-1105

Biography

Dr Ulla Sovio, Senior Research Associate in Applied Medical Statistics, studies the prediction of adverse pregnancy outcomes. Her research interests include clinical risk prediction, development of screening tools, and application of longitudinal growth modelling and time-to-event analysis methods. Sovio is currently analysing biomarker data to further improve the identification of high risk pregnancies.

Website:

http://www.obgyn.cam.ac.uk/staff/research-staff/ulla-sovio/

Additional areas of expertise:

Medical statistics, epidemiology, pregnancy research, longitudinal modelling, prediction modelling, survival analysis, biomarkers, Stata.

Abdulwahab Alshallal

Contact Information

Biography

Gita Khalili Moghaddam

Contact Information

Biography

Raquel Manzano

Contact Information

Biography

Tirtharaj Dash

Contact Information

Biography

Ulla Sovio, PhD

Contact Information

Biography

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