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.

Abdulwahab Alshallal

PhD Student

Areas Of Expertise:

Python, R language, Data visualisation, Big data, Statistical analysis, Research data ethics, Writing/publishing data papers

Contact Information

ORCiD:

Biography

Abdulwahab is a PhD student in Physical Activity Epidemiology, advised by Dr. Soren Brage at the MRC Epidemiology Unit, University of Cambridge. He is a recipient of the Kuwaiti High Science Achiever PhD Scholarship by the Kuwait Foundation for the Advancement of Sciences and the Kuwait Chamber of Commerce and Industry and was previously awarded a full Bachelor's and Master's Scholarship from the Kuwait Ministry of Higher Education. His interests lie in the analysis of accelerometer-measured physical activity data in different populations and related disease endpoints. He previously studied adolescent physical activity behavior in relation to mental well-being. His current research interest is in the analysis of physical activity behavior in the Arabian Gulf in relation to metabolic disease incidence.

Ali Abbas, PhD

Senior Data Scientist, MRC Epidemiology Unit

Areas Of Expertise:

Python, R language, Git, SQL, C/C++/C# language, Java, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Version control, Data sharing, Code sharing, Open data, FAIR Data, Writing/publishing data papers, Geospatial data

Contact Information

aa797@cam.ac.uk

Biography

Ali is Senior Data Scientist and public-health/transport modeller in the Public Health Modelling (PHM) group at the MRC-Epidemiology Unit, University of Cambridge. He is interested in active travel, specifically cycling research.

Coming from a Computer Science background, with a focus on modelling in his PhD, for over a decade, he has been doing data-driven research and development. This includes Exploratory Data Analysis (EDA), Statistical Modelling (or Machine Learning), Interactive Visualization, all with a focus on collaborative, transparent and reproducible research. In addition, he leads in project management and managing, training, guiding, and teaching of junior staff in his Unit. His work can be seen on GitHub at https://github.com/usr110.

Amelie Roper, PhD

Research Facilitator

Cambridge University Library

Areas Of Expertise:

Big data, Repositories (general), Institutional repositories, Licensing, Copyright, Sensitive data, Research data ethics, Data protection and research, Data policies, Data Management Plans, Digitisation, Workshop delivery, Website development

Contact Information

alr39@cam.ac.uk

@amelieroper

ORCiD:

0000-0003-3239-2208

Biography

Amelie Roper is Research Facilitator at Cambridge University Library. Her role involves supporting grant applications for research funding for library activities, and assisting with project delivery once funding is awarded.

She studied music at King’s College London and Library and Information Studies at University College London. She also holds a PhD in book history from the University of St Andrews.

Her research interests include early modern European print culture, digital music publishing and big 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

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.

Gregory Serapio-García

PhD Student

Department of Psychology

Areas Of Expertise:

File sharing systems, Big data, Code sharing, Data analysis, Coding, Python, R language, SQL, Git, Data mining, Machine learning, Statistical analysis, Data storage, Surveys, Textual data, Geospatial data

Contact Information

gs639@cam.ac.uk

@gregserapio

ORCiD:

0000-0002-1890-2331

Biography

I'm a PhD student and Gates Cambridge Scholar studying psychology at St John's College. Broadly, I examine the psychometric properties of Internet big data; my current research explores how social media data predict personality traits and dimensions of mental illness. In general, I'm interested in social data science, the overlap of clinical disorders with everyday personality traits, and personality differences across cultures.

Hugo Tavares, PhD

Postdoctoral Research Associate

Department of Genetics

Bioinformatics Training Facility

Areas Of Expertise:

Bioinformatics, Coding, Python, R language, Git, Data analysis, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Data collection, Experimental design, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Code sharing, Open data, Workshop delivery

Contact Information

hm533@cam.ac.uk

Biography

Additional areas of expertise:

Plant science, Quantitative genetics.

Jason Gellis, PhD

Research Associate

Department of Archaeology

Areas Of Expertise:

Python, R language, Git, Data visualisation, Big data, Machine learning, Statistical analysis, Data Management Plans, Data collection, Database design, Version control, Data storage, Discipline-specific repositories, General repositories, Data sharing, Code sharing, Open data, FAIR Data

Contact Information

jg760@cam.ac.uk

My LinkedIn Profile

Biography

I am a researcher and educator in paleoanthropology and biology. Currently, I am developing machine learning and AI applications for human evolutionary studies with the University of Cambridge Leverhulme Center for Human Evolutionary Studies and the Alan Turing Institute.

Kenza Tazi

PhD Student

AI for Environmental Risk CDT

Areas Of Expertise:

File sharing systems, Big data, Repositories (general), Code sharing, Data analysis

Contact Information

kt484@cam.ac.uk

@KenzaxTazi

My LinkedIn Profile

Biography

During MRes and PhD, I will develop and apply leading edge computational approaches to address critical global environmental challenges. This means I often use vast, diverse and untapped environmental data sets in my day to day work.

Jonathan Birchall, PhD

Contact Information

Biography

Abdulwahab Alshallal

Contact Information

Biography

Ali Abbas, PhD

Contact Information

Biography

Amelie Roper, PhD

Contact Information

Biography

Andrew Thwaites, PhD

Contact Information

Biography

Borja Blanco, PhD

Contact Information

Biography

Gregory Serapio-García

Contact Information

Biography

Hugo Tavares, PhD

Contact Information

Biography

Jason Gellis, PhD

Contact Information

Biography

Kenza Tazi

Contact Information

Biography

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