Matthew Kmiecik is a cognitive neuroscientist with nine years of research experience now focused on Parkinson’s disease at 23andMe. He combines electrophysiology, quantitative sensory testing, and genomics-informed phenotyping to identify biomarkers and risk profiles across neurological conditions. His postdoctoral work linked multimodal hypersensitivity to chronic pelvic pain, and his graduate and undergraduate research probed the neural time-course of reasoning and semantic control using EEG. Matthew has hands-on experience applying machine learning to clinical outcome prediction from a visiting scholar stint at Shirley Ryan AbilityLab, bridging computational methods with human neuroscience. Based in Redwood City, he brings a rare mix of bench-to-data expertise and a track record of translating mechanistic insights into population-scale studies.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Cognition and Neuroscience, Doctor of Philosophy (PhD) Cognition and Neuroscience at The University of Texas at Dallas
Bachelor of Applied Science (B.A.Sc.) Psychology, Bachelor of Applied Science (B.A.Sc.) Psychology at Loyola University Chicago
Contributions:85 pushes, 1 branch in 1 year 4 months
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Matthew Kmiecik - Scientist I - Parkinson's Disease at 23andMe