Tibor Auer
Senior Research Infrastructure Developer at UCL
Staines-upon-Thames, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolTibor Auer is a Senior Research Infrastructure Developer with 11 years of experience building robust research compute environments for neuroscience and bioinformatics. He combines deep domain expertise—PhD in Neuroscience and an MD—with hands-on platform engineering, from optimizing CUDA and conda deployments to designing container images and Argo-based data workflows. Across roles at UCL, Rosalind Franklin Institute and multiple UK universities he has set up secure, scalable infrastructure that supported imaging centres and 10+ scientists, led workshops, and enabled advanced neuroimaging and neuromodulation research. An active contributor to the widely used FieldTrip MATLAB toolbox, he has improved core MEG/EEG/iEEG analysis functions and statistical routines, demonstrating a rare mix of algorithmic and systems-level skills. Colleagues rely on him to translate complex research methods into reproducible, production-ready pipelines and developer-friendly tools. He brings a clinician-scientist’s rigor to platform engineering, which helps bridge experimental needs with operational reliability.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Summa cum laude (1st Hon), Doctor of Philosophy - PhD, Neuroscience, Summa cum laude (1st Hon) at University of Pécs Medical School (POTE formerly)
English, Hungarian, German
Github Skills (10)
statistics10
analyse10
megaparsec10
matlab10
neuroimaging10
time-frequency9
beamer6
beam6
connectivity6
bids4
Programming languages (17)
Github contributions (5)
fieldtrip/fieldtrip
Oct 2020 - Oct 2022
The MATLAB toolbox for MEG, EEG and iEEG analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 reviews, 9 commits, 16 PRs in 2 years
Contributions summary:Tibor primarily contributed to the core functionality of the FieldTrip toolbox, with a focus on enhancing and debugging the analysis methods for MEG, EEG, and iEEG data. Their commits included modifications to existing functions, such as `ft_inverse_eloreta.m`, `ft_crossfrequencyanalysis.m`, and `ft_statistics_montecarlo.m`, indicating a focus on improving and expanding existing features. The user's contributions also involved fixing issues and updating code related to the handling of data and statistics within the toolbox.
brainneurosciencetime-frequencyfieldtripieeg
tiborauer/OpenNFT
Oct 2018 - Dec 2023
OpenNFT is an integrated software package designed for neurofeedback training.
Contributions:72 PRs, 125 pushes, 32 branches in 5 years 2 months
integrateddeep-learningneurofeedback-trainingopennftmachine-learning
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