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 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

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.

Florian Markowetz, PhD

Senior Group Leader

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Big data, Discipline-specific repositories, Data analysis, Bioinformatics, Coding, R language, Git, Matlab, Data visualisation, Data mining, Machine learning, Statistical analysis, Experimental design, Imaging, Workshop delivery, Social media and digital communications

Contact Information

fm327@cam.ac.uk

@markowetzlab

ORCiD:

0000-0002-2784-5308

Biography

Florian Markowetz is a Senior Group Leader at the Cancer Research UK Cambridge Institute. He is a Royal Society Wolfson Research Merit Award holder and received a CRUK Future Leader in Cancer Research prize. He holds degrees in Mathematics (Dipl. math.) and Philosophy (M.A.) from the University of Heidelberg and a Dr. rer. nat. (PhD equivalent) in Computational Biology from Free University Berlin, for which he was awarded an Otto-Hahn Medal by the Max Planck Society. His group at the CRUK Cambridge Institute combines computational work on cancer evolution and image analysis of the tumour tissue with experimental work on understanding key cancer mechanisms like the estrogen receptor.

Paola Finoia, PhD

Research Associate

Department of Anaesthesia

Areas Of Expertise:

Git, Matlab, Visual Basic, Data visualisation, Statistical analysis, Data Management Plans, Data collection, Database design, Experimental design, Sensitive data, Research data ethics, Data protection and research, Data policies, Imaging, Textual data

Contact Information

pf260@cam.ac.uk

My LinkedIn Profile

Biography

My current work combines neurobehavioral observation, fMRI and EEG in patients with Disorders of Consciousness. In particular, my research investigates which factors might predict patient performance, which technique (or combination of techniques), might be most sensitive in detecting residual conscious awareness, and which pattern of performance best classifies conscious state.
I am also interested in the role of attentional mechanisms in conscious perception; specifically, I have been studying which temporal and spatial factors influence divided attention when stimuli in different sensory modalities compete for conscious access, leading to integration or interference.
I strongly believe in the importance of open access and data sharing. I joined the Data Champions initiative at the University of Cambridge, aiming to increase awareness of the importance and benefits of sharing data, and to providing support within my department on how to share data through the university repository.

Additional areas of expertise:

Attentional cognitive processes, disorder of consciousness.

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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Biography

Andrew Thwaites, PhD

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Biography

Borja Blanco, PhD

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Biography

Florian Markowetz, PhD

Contact Information

Biography

Paola Finoia, PhD

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Biography

Pingfan Song, PhD

Contact Information

Biography

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