Data Champions Search

Jonathan Birchall, PhD

Research Associate

Department of Radiology

Areas Of Expertise:

Git, Matlab, Data visualisation, Big data, Statistical analysis, Data collection, Data architecture, Version control, Experimental design, Data storage, Code sharing, Writing/publishing data papers, Surveys, Imaging, Textual data, Digital illustration

Contact Information

jb2455@cam.ac.uk

ORCiD:

0000-0003-3920-4038

Biography

I am currently a Research Associate in the Gallagher Group, where my goals are to develop novel screening techniques for cancer using pre-clinical hyperpolarised 13C-MRI, with an aim towards evaluation, documentation and eventual translation of these techniques into human imaging. This work is jointly funded by the University and The National Cancer Imaging Translational Accelerator (NCITA), where I am a member of the QA/QC Unit responsible for developing Standard Operating Procedures and performing data analysis on NCITA exemplar studies towards the creation of an MRI Core Lab.

I received my PhD from the University of Nottingham in 2017, researching experimental methods for improving 129Xe hyperpolarisation with an application to clinical functional lung imaging. I continued in a postdoctoral role for one year, performing QA/QC duties for the clinical Hyperpolarised Imaging Lung Facility (HILF), before moving to Wayne State University, Detroit, USA to take up a 2.5 year postdoctoral role developing pre-clinical hyperpolariser technologies for 13C, 15N and 129Xe.

I have always had a passion for statistics and communication, and as a Data Champion in the Department of Radiology, I hope that I can collaborate with my peers across a diverse range of projects, advocating for good record-keeping, analysis, dissemination and other facets of research data management.

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

Andrzej Harris, PhD

Research Associate

Department of Biochemistry

Areas Of Expertise:

Python, Matlab, Data visualisation, Data collection, Experimental design, Data sharing, Data archiving, Bioinformatics

Contact Information

ORCiD:

Biography

I am a Research Associate in the Department of Biochemistry, where I specialise in electron cryo-microscopy (cryo-EM). I use cryo-EM data for the reconstruction and computational modelling of antibiotic transport by bacterial tripartite efflux pumps and related membrane proteins.

Borja Blanco, PhD

Research Associate

Department of Psychology

Areas Of Expertise:

Python, R language, Git, Matlab, Big data, Statistical analysis, Code sharing, Imaging, Workshop delivery

Contact Information

bb579@cam.ac.uk

@borja_blanco4

ORCiD:

0000-0001-5533-2086

Biography

I received my PhD in cognitive neuroscience from Basque Center on Cognition, Brain and Language (BCBL). I am currently a Research Associate at the Department of Psychology, University of Cambridge. My interests include data processing and analysis methods for neuroimaging techniques employed in developmental research (fNIRS & EEG). I am interested in the application of these methods for investigating functional connectivity and cognitive processes such as social cognition and language acquisition in infant populations.

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.

Frazer Christie, PhD

Postdoctoral Research Associate (Glacier Geophysics)

Scott Polar Research Institute

Areas Of Expertise:

Matlab, Data visualisation, Data mining, Statistical analysis, Data Management Plans, Data collection, Database design, Data architecture, Data storage, Institutional repositories, Discipline-specific repositories, General repositories, Data sharing, Open data, FAIR Data, Data archiving, Data preservation, Writing/publishing data papers, Imaging, Geospatial data

Contact Information

ORCiD:

Biography

I am a Postdoctoral Research Associate at the Scott Polar Research Institute, where I use a combination of novel satellite imaging techniques, airborne geophysical observations and climate-ocean model data to investigate the key climatic drivers responsible for controlling the rapid deterioration of the Antarctic Ice Sheet since the onset of the satellite era (~1970-present). As such, I have a range of experience in the handling, processing and visualisation of complex geospatial datasets, and have experience in the usage of several different computer programming languages to do this. My experience also includes the long-term archiving and preservation of data to support scientific reproducibility, ranging from the publication of small, project-specific datasets to institutional collections (including assisting with the recent publication of SPRI’s historical Arctic airborne radio echo sounding data archives).

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.

Jonathan Birchall, PhD

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Andrew Gill, PhD

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Andrew Thwaites, PhD

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Andrzej Harris, PhD

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Borja Blanco, PhD

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Biography

Dequn Teng

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Biography

Frazer Christie, PhD

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Biography

Pingfan Song, PhD

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Biography

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