Summary
Katherine Wood is a data scientist with a PhD in experimental psychology and a decade of experience applying rigorous experimental design and statistical modeling to messy, real-world data. She has progressed from academic behavioral research and large-scale online experiments to senior and staff data science roles, now serving as IC4 Data Scientist at Middesk after leading modeling efforts at Signifyd. Skilled in Python, R, regression, model selection, feature engineering, and NLP, she translates complex data into actionable insights and production-ready models. Her background in controlled experiments informs a disciplined approach to causal inference, validation, and reproducibility that peers rely on for high-stakes decisions. Katherine also builds tooling and pipelines—ranging from automated Mechanical Turk workflows to Streamlit apps and large-scale Spark/Hive ETL—bridging research methods with production systems. Based in Seattle, she combines academic rigor with product-minded execution to deliver reliable, interpretable analytics at scale.
9 years of coding experience
11 years of employment as a software developer
Bachelor's Degree, Psychology, Bachelor's Degree, Psychology at University of California, Berkeley
C.K. McClatchy High School
Doctor of Philosophy (Ph.D.), Psychology (Visual Cognition and Human Performance), Doctor of Philosophy (Ph.D.), Psychology (Visual Cognition and Human Performance) at University of Illinois Urbana-Champaign