Summary
Amanda Komuro is a data scientist with a decade of experience merging behavioral, neuroimaging, and genomic data to tackle hard questions in human neuroscience. She holds a PhD in translational molecular medicine and has led large-scale, multinational projects—modeling genetic risk across cohorts of tens of thousands and identifying candidate genes for synesthesia. At Apple and previously in industry and academia she translates complex models into actionable business and scientific insights, from LTV and time-series models for mobile games to reproducible pipelines for neurogenetics. Her clear science communication has earned grant funding, invited speaking slots, and a Science Friday interview, reflecting a rare ability to influence both technical and public audiences. Amanda combines hands-on coding in R and Python, bioinformatics and ML experience, and a collaborative track record spanning geneticists to paleoanthropologists. Less obvious: she balances deep domain expertise with product-minded analytics, creating reusable tools and reporting processes that scale across teams and stakeholders.
10 years of coding experience
3 years of employment as a software developer
PhD, Molecular Medicine, PhD, Molecular Medicine at Case Western Reserve University
BA, Biology, Psychology, Neuroscience, BA, Biology, Psychology, Neuroscience at Albion College