TalĀ Attia
Software Engineer at Mayo Clinic
United States
Summary
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Seniorš
Top SchoolTal Attia is a software engineer with eight years of experience building cloud platforms and AI-enabled healthcare systems, currently contributing to the Generative AI Program at Mayo Clinic. His work bridges research and production: he designed high-throughput neuroimaging pipelines, led development of the widely adopted HED-SCORE EEG metadata standard, and integrated real-time LSTM seizure prediction into clinical-grade wearables. Comfortable with signal processing and secure clinical data tooling, Tal has a track record of turning academic research into deployable systems. He combines an MS in Biomedical Engineering with hands-on experience in embedded and cloud ML, making him adept at translating complex physiological data into practical, scalable services.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Biomedical Engineering and Physiology, Master of Science - MS, Biomedical Engineering and Physiology at Mayo Clinic Graduate School of Biomedical SciencesBachelor of Science - BS, Industrial Engineering and Management, Bachelor of Science - BS, Industrial Engineering and Management at Ben-Gurion University of the Negev
English, Hebrew
Github Skills (73)
computational-neuroscience10
bids10
raw-data10
specification10
data-files10
electrophysiology10
mri10
biology10
data-structure10
imaging10
neuroimaging10
brain-imaging9
datasets9
hierarchical9
neuroscience9
Programming languages (6)
Github contributions (5)
tpatpa/bids-examples
Jun 2022 - Sep 2022
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
Contributions:10 commits, 16 pushes in 3 months
emptyraw-datadatasetdata-filesdatasets
tpatpa/hed-schema-library
Feb 2021 - Sep 2023
Repository holding HED library schema
Contributions:2 PRs, 86 pushes in 2 years 7 months
hed
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