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.

Paul Griffiths, PhD

NCAS Research Scientist

Department of Chemistry

Areas Of Expertise:

Discipline-specific repositories, Code sharing, Data analysis, Python, Git, Data visualisation, Big data, Data storage, Institutional repositories, Geospatial data

Contact Information

ORCiD:

Biography

I'm employed by the National Centre for Atmospheric Science, based in the Chemistry Department. I'm interested in atmospheric chemistry, climate models and using climate model data to answer research questions.

Pingfan Song, PhD

Senior Research Associate

Areas Of Expertise:

Python, Git, Matlab, Machine learning, Code sharing, Imaging, Workshop delivery

Contact Information

ps898@cam.ac.uk

My LinkedIn Profile

Biography

Dr. Pingfan Song is a senior research associate at the Machine Learning group in University of Cambridge. He is endorsed under the Global Talent by UK Research and Innovation (UKRI) in recognition of his critical contributions.
   He has been working on trustworthy machine learning which aims to advance work on key technical underpinnings of interpretability/transparency, fairness, and robustness of machine learning systems, and to develop timely key applications in real world healthcare settings, such as medical imaging diagnosis systems. In addition to machine learning, he is also a professional in image processing, sparse modeling and sampling theory. His research has been applied to multi-disciplinary fields such as medical imaging, biological imaging, and other computational imaging tasks and inverse problems.
   He is a STEM ambassador in UK and a mentor of in2scienceUK where he provides free teaching, career guidance and advice for A-level students in order to empower students from disadvantaged backgrounds to achieve their potential and progress to STEM and research careers. He is also Co-president of London PhD Network (LPN), a non-profit academic association promoting interdisciplinary communication.

Qi Wang, PhD

Bioinformatician

Department of Plant Sciences

Areas Of Expertise:

Big data, Data analysis, Bioinformatics, Coding, Python, R language, SQL, Git, Data visualisation, Data mining, Machine learning, Statistical analysis, Experimental design, Data storage, Discipline-specific repositories, Data sharing, Code sharing, Writing/publishing data papers, Workshop delivery

Contact Information

qw254@cam.ac.uk

ORCiD:

0000-0002-6420-1720

Biography

Qi received her PhD at the University of California, Los Angeles, where she developed computational methods to study alternative splicing and the evolution of HIV. Later she joined the UCLA Division of Dermatology to help identify the resistance mechanisms of targeted cancer therapies using computational tools.

In 2011 she was awarded the Humboldt Research Fellowship to work in the Division of Theoretical Bioinformatics, and later the Division of Applied Bioinformatics, at the German Cancer Research Centre. There she worked on diverse bioinformatics projects with NGS data, such as studying genome-wide epigenetic regulation of cell differentiation, developing sequencing protocols and detecting somatic mutations from whole-genome sequencing data, as well as data integration and predictive modelling.

Currently, she provides bioinformatics training and support to PhD students and postdoctoral researchers in the lab of Professor Beverley Glover.

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.

Russell Hamilton, PhD

Bioinformatics Facility Manager

Centre for Trophoblast Research (PDN)

Senior Research Associate

Department of Genetics

Areas Of Expertise:

Bioinformatics, Coding, Python, R language, Git, SQL, Data visualisation, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Code sharing, Open data, Imaging, Website development

Contact Information

ORCiD:

Biography

Providing bioinformatics support to ~30 research groups in the Centre for Trophoblast Research (CTR).

Additional areas of expertise:

Systems admin.

Sergio Martínez Cuesta, PhD

Postdoctoral Research Associate

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Bioinformatics, Cheminformatics, Coding, Python, R language, SQL, Git, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Electronic Lab Notebooks, Data collection, Database design, Data architecture, Experimental design, Research data ethics, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Code sharing, Open data, Data preservation, Writing/publishing data papers, Imaging, Workshop delivery, Video editing

Contact Information

sermarcue@gmail.com

My LinkedIn Profile

ORCiD:

0000-0001-9806-2805

Biography

My research involves developing computational methods to explore the chemical biology of the genome and investigating proteins catalysing chemical modifications in DNA.

Additional areas of expertise:

Computational biology/chemistry.

Shamith Samarajiwa, PhD

Group Leader

MRC Cancer Unit

Areas Of Expertise:

File sharing systems, Big data, Discipline-specific repositories, Repositories (general), Data sharing policies, Sensitive data, Code sharing, Data analysis, Bioinformatics, Data science, Coding, Python, R language, Git, SQL, C/C++/C# language, Data visualisation, Data mining, Machine learning, Statistical analysis, Data Management Plans, Electronic Lab Notebooks, Data collection, Database design, Experimental design, Data storage, Data sharing, Open data, Version control, Textual data, Workshop delivery, Website development

Contact Information

ss861@mrc-cu.cam.ac.uk

@shamith

ORCiD:

0000-0003-1046-0601

Biography

Shamith is a Group Leader at the MRC Cancer Unit. His lab develops and applies Genomics, Computational Biology, Data Science and AI approaches to understand processes leading to cancer formation and to develop cancer early detection methods.

url: https://samarajiwa-lab.org/

Sherine Awad Mahmoud, PhD

Postdoctoral Research Associate, Clinical Biochemistry

Areas Of Expertise:

Python, R language, Git, C/C++ language, Data mining, Machine learning, Version control, Licensing, Copyright, Research data ethics, Data policies, Data storage, General repositories, Data sharing, Code sharing, FAIR Data, Writing/publishing data papers, Bioinformatics

Contact Information

sa941@medschl.cam.ac.uk

Biography

I have a PhD in Computer Science specialised in Bioinformatics from Michigan State university. I had my postdoc training in Bioinformatics from University of California Davis before moving to University of Cambridge.

Yasmin Fathy, PhD

Research Associate in Construction Information Technology

Areas Of Expertise:

Python, Git, SQL, Data mining, Machine learning, Data collection, Writing/publishing data papers, Digitisation

Contact Information

ORCiD:

Biography

Yasmin Fathy is a Research Associate at the Department of Engineering, University of Cambridge and a Fellow of the Higher Education Academy. Before joining Cambridge, she was a Software Developer at Genomics Analytics Group at European Bioinformatics Institute (EMBL-EBI), Research Associate in IoT and Machine Learning at Cambridge University, and a KTP Research Associate in Data Science and Machine Learning at UCL. She obtained her PhD from the Institute for Communication Systems (ICS) at the University of Surrey and an MSc in Applied Science and Engineering from the Artificial Intelligence (AI) Lab at Vrije Universiteit Brussel (VUB) in Belgium. Her research interests include IoT, data analytics, digital twin and applied machine learning.

She is an active reviewer and a technical program committee member for multidisciplinary and international journals and conferences, including CCNC, The Web Conference (WWW), IEEE Systems, IEEE IoT Journal, IEEE Transactions on Big Data, and IEEE Access. She is a Topic Editorial in Frontiers in Big Data: Women in Machine Learning and Artificial Intelligence Initiative, a Data Champion at the University of Cambridge and a member of the Cambridge Centre for Data-Driven Discovery (C2D3). She was a BSF (Become a Science Founder) Fellow for entrepreneurship scientists in 2021 and was awarded MEDASTAR Erasmus Mundus and University of Surrey scholarships.

Yasmin is also a volunteer mentor for supporting students with soft & English skills development at Manara and a volunteer instructor at Code First Girls (CFGs).

http://yasminfathy.github.io/

Mark Fernandes

Contact Information

Biography

Paul Griffiths, PhD

Contact Information

Biography

Pingfan Song, PhD

Contact Information

Biography

Qi Wang, PhD

Contact Information

Biography

Raquel Manzano

Contact Information

Biography

Russell Hamilton, PhD

Contact Information

Biography

Sergio Martínez Cuesta, PhD

Contact Information

Biography

Shamith Samarajiwa, PhD

Contact Information

Biography

Sherine Awad Mahmoud, PhD

Contact Information

Biography

Yasmin Fathy, PhD

Contact Information

Biography

Filter by area of expertise

Filter by research communities:

Study at Cambridge

About the University

Research at Cambridge