Juan Iglesias
Associate Professor Of Radiology
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJuan Iglesias is an Associate Professor of Radiology and researcher in medical image computing with 11+ years of experience translating advanced machine learning into practical neuroimaging tools. He develops "out of the box" algorithms that analyze brain MRI of any resolution or contrast—enabling large-scale analysis of uncurated hospital datasets, portable low-resolution scans, and even 3D-reconstructed dissection photos. His parallel work builds ultra-detailed anatomical models from ex vivo histology and applies them to automated segmentation of in vivo MRI, bridging microscopic anatomy and clinical imaging. Based at Harvard and affiliated with MIT CSAIL and the Martinos Center, he combines academic leadership with hands-on software contributions, including improvements to Brainstorm’s core inverse methods for MEG/EEG. Trained in bioengineering and electrical engineering, he brings a rare mix of statistical learning theory, non-linear systems insight, and practical neurophysiology tooling to clinical imaging challenges.
10 years of coding experience
6 years of employment as a software developer
University of SevilleMaster's degree, Wireless Systems, Master's degree, Wireless Systems at KTH Royal Institute of TechnologyDoctor of Philosophy (Ph.D.), Bioengineering and Biomedical Engineering, Doctor of Philosophy (Ph.D.), Bioengineering and Biomedical Engineering at University of California, Los Angeles
English, Swedish
Github Skills (6)
matlab10
megaparsec9
electrophysiology8
algorithms8
algorithm8
implement8
Programming languages (12)
Github contributions (5)
brainstorm-tools/brainstorm3
Apr 2019 - Jun 2022
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Role in this project:
Backend Developer
Backend DeveloperContributions:1 review, 52 commits, 25 PRs in 3 years 2 months
Contributions summary:Juan primarily focused on modifying and improving the `bst_inverse_linear_2018.m` file, which suggests work on the core inverse methods within the Brainstorm software. Their commits involved commenting on notation, fixing bugs related to sLORETA and deep brain structures, and updating print statements for different versions of the software. Additionally, they made changes to the connectivity analysis tool `bst_correlation.m`, addressing issues with input use and function calls.
pythonmatlabseegcomputational-neurosciencefnirs
juangpc/brainstorm3
Sep 2020 - Sep 2022
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Contributions:76 pushes, 11 branches in 1 year 11 months
pythonseegfnirsecogbrainstorm
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