Data Champions Search

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.

I am a PhD student in developmental biology in Ben Steventon’s lab. Through being part of the Data Champions network I hope to learn more about the management of data and share this understanding, as it develops, with my community. I hope to be a part of making academic research more accountable, accessible, and communal.

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.