Data Champions Search

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.

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.

Mark Fernandes

Contact Information

Biography

Raquel Manzano

Contact Information

Biography

Ulla Sovio, PhD

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Biography

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