Aidas Aglinskas
Postdoctoral Scholar at Boston College
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolAidas Aglinskas is a postdoctoral scholar at Boston College with 10 years of experience applying deep learning to neuroimaging, combining fMRI and EEG expertise with cognitive neuroscience training (PhD, Università di Trento). He developed a self-supervised Contrastive VAE approach that helped identify autism biomarkers in >1,000 MRI scans and contributed reproducible code that enabled multiple independent groups to adopt the method. His VAE-based denoising for fMRI outperforms standard approaches substantially, and his work has appeared in high-impact venues including Science. Beyond publications, he balances rigorous reproducibility with pragmatic coding—some repositories are polished and well-documented, reflecting a focus on enabling others to build on his methods.
10 years of coding experience
Master of Science - MSc, Neuroimaging, Master of Science - MSc, Neuroimaging at Bangor UniversityDoctor of Philosophy - PhD, Cognitive and Brain Sciences, Doctor of Philosophy - PhD, Cognitive and Brain Sciences at Università di TrentoProgramming languages (1)
Github contributions (5)
Aglinskas/Grids
Dec 2016 - Sep 2021
Contributions:15 pushes, 1 branch in 4 years 9 months
Aglinskas/BC-MRI-AE
Nov 2020 - Mar 2022
Contributions:134 pushes, 1 branch in 1 year 4 months
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