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Dylan A. Royston, PhD

I'm a research scientist, data engineer, and neurotechnology advocate.

Currently I work as a data engineer at Manifold, designing and deploying high-performance data platforms.

Previously I worked as a postdoctoral researcher in the Pediatric Brain Electrophysiology Lab with Dr. Taylor Abel (UPMC), using high-density intracranial EEG and machine learning to study human auditory processing.

I earned my PhD working in the Rehab Neural Engineering Lab at the University of Pittsburgh, where I contributed to the development of intracortical brain-computer interfaces.

External links

Dylan Royston's Projects

epileptisentry icon epileptisentry

Real-time electroencephalography (EEG) signal analysis for monitoring abnormal brain activity at scale

fips_tools icon fips_tools

Analysis code for processing and analyzing functional MRI data

labhacks icon labhacks

Resources for data driven neuroscientists.

r2d4 icon r2d4

sensorimotor learning experimental and anlysis scripts

rsaremap icon rsaremap

Behavioral, imaging, and analysis code for sequential skill training in python

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