Dogu Aydogan
Academy Research Fellow at University of Eastern Finland
Finland
Summary
👤
Senior🎓
Top SchoolDogu Aydogan is an Academy Research Fellow at the University of Eastern Finland with 11 years of experience advancing brain microstructure characterization and structural connectivity through medical imaging and image processing. He develops novel tractography and connectivity analysis methods, including real-time tractography applications for guiding transcranial magnetic stimulation. His work bridges theoretical geometry (e.g., contour tree connectivity) and practical diffusion MRI algorithms, yielding multiple awards in high-profile tractography challenges (MICCAI, ISMRM, ISBI). Having held postdoctoral positions at USC and research roles across Finnish universities and hospitals, he combines rigorous academic training (PhD in Biomedical Engineering) with translational focus and a track record of competitive benchmarking success. An unexpected strength is his consistent ability to recast connectivity in geometrically meaningful terms, simplifying complex diffusion data into interpretable measures for clinicians and engineers alike.
11 years of coding experience
13 years of employment as a software developer
Master of Science (MSc), Biomedical/Medical Engineering, Master of Science (MSc), Biomedical/Medical Engineering at Tampere University of Technology 1965-2018Doctor of Philosophy (PhD), Biomedical/Medical Engineering, Excellent, Doctor of Philosophy (PhD), Biomedical/Medical Engineering, Excellent at Tampere University of TechnologyHigh School, High School at Izmir Fen LisesiBSc, Electrical and Electronics Engineering, BSc, Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish, Finnish
Github Skills (68)
python10
feature-extraction10
topological-data-analysis10
bids10
spatial10
medical-imaging10
medical10
deconvolution10
statistical-learning10
signal-processing10
denoising10
self-supervised-learning10
diffusion-mri10
mri10
reduction10
Programming languages (4)
Github contributions (5)
baranaydogan/realTimeTractogramVisualizer
Dec 2021 - Dec 2022
Contributions:1 release, 23 commits, 15 pushes in 1 year
nibrary/nibrary
May 2024 - Mar 2025
nibrary is an evolving collection of functions designed to support research in computational neuroimaging across various imaging modalities for developing new methods, tools, and applications.
Contributions:12 releases, 36 PRs, 220 pushes in 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.