Summary
Aaron Lichtner is a Principal Data Scientist with eight years of industry experience and a Ph.D. in Materials Science from the University of Washington, combining deep academic rigor with practical ML and analytics applied to retail and supply-chain problems. He has led forecasting and optimization work at Nordstrom, Shelf Engine, and now Crisp, specializing in inventory and waste reduction for perishable goods through probabilistic modeling and rich data visualization. His background in experimental materials research and discrete-element modeling informs a rigorous, simulation-minded approach to feature engineering and model validation that isn’t obvious from a typical data-science resume. A published researcher and inventor who has translated lab-scale experimentation into product impact, he balances academic publication experience with hands-on production deployment. Based in Seattle, he maintains an active GitHub and portfolio site showcasing reproducible analyses and modeling tools used in production.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Materials Science, Doctor of Philosophy (PhD) Materials Science at University of Washington
California Polytechnic State University, San Luis Obispo
Data Science, Data Science at Galvanize - Seattle, Pioneer Square
English, French