Mats Van Es
Extraordinary Junior Research Fellow In Experimental Psychology at The Queen's College, Oxford
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolMats Van Es is a cognitive neuroscientist and computational neuroscientist with 11 years’ experience specializing in M/EEG methods and large-scale functional brain network analysis. Currently an Extraordinary Junior Research Fellow and Senior Researcher at Oxford, he develops advanced electrophysiology and machine learning tools to make MEG/EEG more clinically useful for brain disorders. He brings deep hands-on expertise in MEG analysis and FieldTrip—contributing bug fixes and new filtering options to the widely used FieldTrip MATLAB toolbox—alongside a track record of method development from PhD to postdoc. Known for bridging principled computational modeling with practical data-processing solutions, he combines rigorous experimental design with production-ready code.
11 years of coding experience
5 years of employment as a software developer
PhD - Doctor of Philosophy, Cognitive Neuroscience, PhD - Doctor of Philosophy, Cognitive Neuroscience at Radboud UniversityMaster of Science (MSc), Cognitive Neuroscience, Master of Science (MSc), Cognitive Neuroscience at Radboud Universiteit NijmegenWashington & Jefferson CollegeVWO, NT & NG, VWO, NT & NG at Valuascollege
Dutch, English, German, Spanish
Github Skills (7)
debugging10
debug10
filtering10
matlab10
filter10
neuroimaging10
analyse9
Programming languages (7)
Github contributions (5)
fieldtrip/fieldtrip
Mar 2017 - May 2021
The MATLAB toolbox for MEG, EEG and iEEG analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 63 commits, 59 PRs in 4 years 2 months
Contributions summary:Mats primarily focused on debugging and improving the `ft_math` function within the MATLAB toolbox, addressing issues related to data structures and indexing errors, particularly in handling 'raw' data and 'dimord' fields. They made the code more concise, ensuring consistency in output fields with input data and incorporating error handling for multiple raw data inputs. Additionally, the user added a new filtering option with `preproc/private/filter_with_correction.m`.
brainneurosciencetime-frequencyfieldtripieeg
schoffelen/dyncon_vismot
Oct 2018 - Mar 2021
Contributions:59 pushes in 2 years 5 months
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