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.

Máté Aller

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

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.

Shoko Hirosue

MB/PhD Student

MRC Cancer Unit

Areas Of Expertise:

Big data, Code sharing, Data analysis, Bioinformatics

Contact Information

sh822@cam.ac.uk

@shokohirosue

My LinkedIn Profile

Biography

I am an MBPhD student, currently in my 2nd year of PhD at MRC Cancer Unit. I analyse data of various sequencing technologies using bioinformatics and computational genomic approaches.

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/

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.

Xiaohui Zhao

Bioinformatician

Department of Medicine

Areas Of Expertise:

Big data, Code sharing, Data analysis, Bioinformatics

Contact Information

xz289@cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0001-9922-2815

Biography

I provide statistics and bioinformatics support for CTR research groups. I also collaborate with Plant Science Department and XIamen University of China.

Mark Fernandes

Contact Information

Biography

Máté Aller

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Biography

Raquel Manzano

Contact Information

Biography

Shoko Hirosue

Contact Information

Biography

Tirtharaj Dash

Contact Information

Biography

Winnie Lei

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Biography

Xiaohui Zhao

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Biography

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