Research Software Engineer

Gabrielle Schroeder

Gabrielle Schroeder joined the team as a data scientist in September 2023. After undergraduate training in molecular biology and genetics, she transitioned to research in computational neuroscience as a PhD student and postdoctoral researcher at Newcastle University. Her work focused on developing pipelines and applying a variety of techniques, such as time series analysis and unsupervised learning, to analyse brain activity and clinical data.

As a member of the RSE team, Gabrielle has designed data analysis workflows on AWS and developed software for biomedical signal processing. She has also added skills in user interface/user experience design and developed graphical user interfaces for data analysis and visualisation. Her interests include data visualisation, software design, and medical research software.

Education
PhD Computer Science, Newcastle University
Technical
Programming: Python, R, MATLAB, HTML/CSS
Software: Git/GitHub, LaTeX, Adobe Creative Cloud, Quarto, Qt, AWS (serverless)
Topics: Data Analysis, Data Visualisation, Signal Processing, Network Analysis, Unsupervised Learning, Statistics, Computational Modelling, UI/UX
Interests
Reading, Generative art, Strength training, Gardening, Walking with her dog

Newcastle University Research Software Engineering.