Máté Aller
Postdoctoral Researcher at University of Cambridge
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolMáté Aller is a cognitive computational neuroscientist and postdoctoral researcher at the University of Cambridge with nine years of experience at the intersection of neuroscience, machine learning, and healthcare. He investigates neural mechanisms of speech perception to improve assistive speech technologies and automatic speech recognition systems, combining expertise in analyzing high-dimensional neural datasets with a strong foundation in clinical medicine. His training spans an MD (Summa Cum Laude) and a PhD in Cognitive Neuroscience, reflecting rare fluency across experimental neuroscience, imaging methods, and clinical practice. Previously he studied audiovisual causal inference and sensory adaptation at Birmingham and developed novel fluorescent imaging techniques in preclinical hearing loss research. Colleagues rely on him for translating complex neural signals into practical ML-driven solutions for real-world assistive systems.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Psychology (Cognitive Neuroscience), Doctor of Philosophy - PhD, Psychology (Cognitive Neuroscience) at The University of BirminghamDoctor of Medicine (M.D.), Medicine, Summa Cum Laude, Doctor of Medicine (M.D.), Medicine, Summa Cum Laude at University of SzegedCoursework and resarch toward PhD in Neuroscience, Coursework and resarch toward PhD in Neuroscience at Semmelweis UniversityMatura, Matura at Gergely Czuczor Secondary Grammar School of the St. Benedict Order
English, German, Hungarian
Github Skills (19)
bids9
mne-python9
neuroscience8
pipeline8
typescript8
microsoft7
electron7
vscode-extension7
vscode7
datasets7
editor7
python7
visual-studio6
visual-studio-code6
neuroimaging4
Programming languages (3)
Github contributions (5)
MRC-CBU/BIDS_conversion
Feb 2024 - May 2024
Tutorials for organising MEG/EEG and MRI data into BIDS standard.
Contributions:4 PRs, 26 pushes, 5 branches in 2 months
bidsbids-formatneuroimaging
allermat/mne-bids-pipeline
Mar 2023 - Sep 2023
Automatically process entire electrophysiological datasets using MNE-Python.
Contributions:7 pushes, 5 branches in 6 months
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