Find a Data Champion

Aurora Gao

PhD student

Areas Of Expertise:

Data collection, Experimental design, Discipline-specific repositories, Open data, Textual data, Audiovisual data, Workshop delivery, Social media & digital communications, Website development

Contact Information

ORCiD:

Aurora is a PhD student at the University of Cambridge. Prior to earning her MPhil degree from Cambridge with Distinction and Best Dissertation Award, she majored in Spanish and minored in Psychology with a First and Best Dissertation Award. Her research lies at the intersection of applied linguistics, psychology, and sociology. In addition to research training in areas such as experimental design, she is particularly interested in digital scholarship and open research.

Brandon Smith PhD

Post-doctoral Researcher

Department of Engineering

Areas Of Expertise:

Data collection, Experimental design, Sensitive data, Research data ethics, Data storage, Data sharing, Writing/publishing data papers, Textual data, Audiovisual data, REDCap, Video editing, Digital illustration, Workshop delivery, Social media & digital communications, Website development

Contact Information

ORCiD:

Biography

My interests lie in the ideation, innovation and translation processes for healthcare technologies in resource-limited settings. I am a Postdoctoral Research Associate in the International Health Systems Group (IHSG), Department of Engineering, funded by the NIHR Global Health Research Group on Acquired Brain and Spine Injury.

Dace Apšvalka

Research Associate

MRC Cognition and Brain Sciences Unit

Areas Of Expertise:

Python, Data visualisation, Big data, Machine learning, Statistical analysis, Data collection, R language, Version control, Experimental design, Data storage, Git, Data sharing, Code sharing, Open data, FAIR Data, Writing/publishing data papers, SQL, Imaging, Video editing, Digital illustration, Matlab, Workshop delivery, Website development, Other programming languages

Contact Information

ORCiD:

Biography

I work in cognitive neuroscience and neuroimaging, with a strong focus on research data management, reproducible analysis, and open science practices. Before training in cognitive neuroscience, I was educated in computer science and trained as a systems analyst, which continues to shape how I approach research data, workflows, and computational methods. In my current work, I focus on brain imaging data, including data organisation in BIDS (Brain Imaging Data Structure), preprocessing and analysis pipelines, and the development of practical training materials to support researchers in using modern computational tools and adopting good data practices.

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