Find a Data Champion

Laurisa is a PhD Student in Latin American studies focusing on Colombian diasporic narratives and the spatial humanities. She also works as a Digital Preservation trainer at the University of Southampton. She is involved in digital preservation and open research activities in the UK and beyond, and regularly teaches workshops that help information professionals enhance their computational skills, with an emphasis on digital cultural heritage preservation.

I have over 30 years experience of Scientific Computing. I have worked on Image analysis of Light Microscopy images, Scientific IT Support (13 years), Data-driven web applications of mathematical models and Bioinformatics Training at the Institute of Food Research (Now the Quadram Institute). I have been involved in an EU Framework Database Workshop. I strive to include good data-handling and reproducibility practices into all training materials.

I am a neuroscientist studying human speech perception with the aim of advancing assistive speech (neuro)technologies and AI speech recognition systems. My background is in cognitive neuroscience and medicine.

I am an expert in human neurophysiology methods (electro- and magnetoencephalography, EEG/MEG) combined with machine learning and artificial neural network modelling (deep learning).

Since the beginning of my PhD, I’ve been passionate about reproducible and open science practices such as data and code sharing, and good coding practices including version control. In my department I am leading the adoption of the standardised Brain Imaging Data Structure (BIDS) for storing and sharing human neurophysiology (MEG/EEG) data.

I am a postdoctoral researcher working on data and wet lab projects at the Wellcome Sanger Institute. I combine hands-on laboratory work with computational analysis, helping to generate, process, and interpret biological data. My work sits at the interface of experimental biology and data science.