Dano Morrison is a research engineer in New York with 11 years of experience applying neuroscience to real-world interfaces, currently prototyping EMG-based interactions for VR/AR at Meta. He blends a solid academic background in physiology and neuroscience with hands-on software engineering, having built EEG-focused apps, desktop tools, and full-stack biomedical platforms across startups and research labs. At CTRL-labs and Meta he translated neural signals into product-ready APIs and interaction models, and his open-source work includes refining Muse EEG streaming pipelines for robust real-time data handling. Comfortable across Python, React/Electron, TypeScript, and embedded Android, he moves fluidly between signal processing, ML for brain data, and UX-driven prototypes. Unusually, his early summers running a scuba-based lake weed removal business reflect practical field skills and a knack for building repeatable operations outside tech. He organizes community events to demystify neurotech, combining technical depth with a talent for making brain data accessible and fun.
Python script to stream EEG data from the muse 2016 headset
Role in this project:
Back-end Developer
Contributions:1 release, 5 reviews, 80 commits in 5 years 7 months
Contributions summary:Dano's contributions focused on implementing and refining core functionality for streaming and processing EEG data from the Muse 2016 headset. They implemented filtering and data handling, refactoring to use optimized libraries and techniques. Further development involved the creation of persistent data buffers and improvements to data processing pipeline to switch between filtered and unfiltered data, demonstrating attention to detail. They added command-line argument parsing for data streaming and recording.
An easy-to-use platform for EEG experimentation in the classroom
Contributions:16 releases, 3 reviews, 458 commits in 3 years 1 month
pythonexperimentationeeg
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