Summary
Glynis Mattheisen is a Platform Data Engineer with eight years of experience building data architectures, pipelines, and management solutions that bridge research and production. With a PhD in Neuroscience and a track record at organizations from the Human Brain Project to Exscientia and Adobe, she brings deep domain knowledge in multimodal scientific data and practical expertise in SQL, Python, Snowflake and ETL. She has designed central repositories and metadata schemas for complex neural datasets and written tooling (including a Python API for eBrains) to make high-dimensional research data discoverable and reusable. Comfortable moving between laboratory-grade data curation and enterprise analytics, Glynis specializes in turning noisy experimental data into reliable, scalable platforms that accelerate R&D decisions. Based in Dundee, she combines rigorous scientific thinking with platform engineering to solve data quality, standardization and integration challenges that are often overlooked.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Oregon Health & Science University
Data Science, Data Science at SPICED Academy
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at Louisiana State University