Tab Memmott is a Lead Research Software Engineer with over a decade of experience building neurotechnology and AI/ML systems, currently focused on supporting global research users of EEG and fNIRS devices. He led development of the open-source BciPy platform and advanced multimodal BCI tooling, simulation, and artifact-handling techniques used in both labs and awake craniotomy settings. Tab blends hands-on engineering (Python, C/C++, LSL, MNE-Python) with client-facing roles—architecting support portals, delivering training at international conferences, and enabling publications through expert troubleshooting. He has guided junior engineers, written grant components, and extended accessibility of intracortical paradigms by adding Spanish-language support, demonstrating a rare mix of technical leadership and patient-centered research impact.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.S.) & Bachelor of Arts (B.A.) Organismal Biology & Health Sciences, Bachelor of Science (B.S.) & Bachelor of Arts (B.A.) Organismal Biology & Health Sciences at Portland State University Honors College
Contributions:7 reviews, 12 commits, 14 PRs in 1 year 5 months
pythonbcipy
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Tab Memmott - Research Support Engineer at Wearable Sensing