Summary
Michael Demidenko is a Senior Data Scientist in Portland, OR with a PhD and eight years of experience turning large, complex scientific and business datasets into reproducible, production-ready solutions. He combines deep quantitative methods (mixed-effects models, SEM, specification-curve analysis) with engineering skills—building containerized ETL and processing pipelines for 30+ TB of neuroimaging data and deploying Python-driven automation for regulatory reporting in finance. Michael has bridged academia and industry at Stanford, the University of Michigan, and U.S. Bank, leading cross-site collaborations, managing multi-disciplinary teams, and delivering measurable ROI through UX-driven analytics and generative-AI automations. He’s fluent in Python and R, experienced with HPC, Docker, AWS, and governance-compliant pipelines, and has open-source contributions that emphasize reproducible neuroinformatics workflows. Notably, he has cut operational costs dramatically by applying multi-agent LLM solutions to SEO and reporting tasks while preserving data integrity and regulatory compliance.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Psychology, Doctor of Philosophy (PhD) Psychology at University of Michigan College of Literature, Science, and the Arts
Certificate Data Science, Certificate Data Science at University of Michigan
David Douglas High School
Bachelors of Science Psychology, Bachelors of Science Psychology at Portland State University
Transfer Degree Psychology, Transfer Degree Psychology at Clackamas Community College
Clackamas High School
Postdoctoral Scholar Cognitive Neuroscience, Postdoctoral Scholar Cognitive Neuroscience at Stanford University
Russian, English