Murat Bilgel
Facility Head, NeuroImage Analysis Core at National Institute on Aging (NIA)
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolMurat Bilgel is a neuroimaging scientist and facility head with nine years of focused experience in aging and Alzheimer’s research, currently leading the NeuroImage Analysis Core at the National Institute on Aging. He builds and maintains large MRI/PET data infrastructures with reproducible workflows (DataLad, automated QC) and has engineered AI models and Bayesian harmonization methods that measurably improve biomarker quantification and multi-site comparability. His work spans method development and translational science—authoring 16 first-author papers, contributing to 50+ publications, and delivering invited talks—while his models achieved top performance in disease progression and prediction challenges. A pragmatic coder, he accelerated image processing pipelines (Matlab→Python) to enable high-throughput analysis and designed toolboxes now used across institutions. Murat also mentors and coordinates interdisciplinary teams, translating statistical rigor into operational decisions about scanners and protocols. Notably, he synthesizes counterfactual amyloid images with UNet-based AI, a capability that advances individualized biomarker assessment for participants without imaging.
9 years of coding experience
5 years of employment as a software developer
PhD Biomedical Engineering, PhD Biomedical Engineering at The Johns Hopkins University School of MedicineNeuroimaging and Data Science, Neuroimaging and Data Science at University of Washington eScience InstituteJohns Hopkins UniversityInternational Baccalaureate (IB) Diploma, International Baccalaureate (IB) Diploma at UWC-USA
Japanese, Turkish, English, French
Github Skills (39)
dataflow-programming9
meta-analysis9
python8
bids8
neuroimaging8
estimate8
electrophysiology8
iterative8
converter8
brain-imaging8
dataflow8
meta7
json7
scanner7
metadata7
Programming languages (7)
Github contributions (5)
bilgelm/temporalimage
Oct 2017 - Oct 2021
Simple calculations on 4D images with corresponding frame timing information
Contributions:1 release, 9 reviews, 62 pushes in 4 years 1 month
pythonframecalculations
bilgelm/nanslice
Mar 2019 - Dec 2024
A Python implementation of 'dual-coding'
Contributions:7 pushes, 2 branches in 5 years 10 months
python-implementationpythondual
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