Find a Data Champion

I am a part-time PhD student and part-time veterinarian. My research is about the genetics of obesity in dogs, which is also relevant to human genetics genetic and physiological similarities, and shared environmental factors. I am particularly interested in bringing better data management standards to the veterinary field, specially in clinical research.

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.

Marlou is a Research Associate at Clinical Neurosciences, working at the Cambridge Centre for Frontotemporal Dementia and Related Disorders. Her background is in Psychology, with a specialism in intra-individual variability. She has experience in neuroimaging (specifically M/EEG), eye tracking, psychophysics/experimental design, and metacognition. In her current role, she oversees multi-modal, multi-site, and longitudinal projects in patients and healthy controls.

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.