Evan Warfel is a researcher, data scientist, and incoming PhD student in Psychology at UC Davis with 12 years of experience applying quantitative methods across academic-adjacent R&D and product settings. He has built production-ready algorithms and recommender systems, led unsupervised clustering of large time-series datasets, and prototyped psychometrics and access-control analytics for industry clients. As a consultant he has tackled projects ranging from NLP on millions of biomedical papers to personality-aware story customization, blending computational rigor with human-centered measurement. His background in cognitive science and psychometrics informs practical solutions that bridge behavioral theory and scalable data engineering. Based in Sacramento, he combines academic publishing and peer review experience with hands-on implementation across startups and research collaborations. Notably, he often focuses on quantifying cognitive constructs and extending research-grade methods into applied products.
12 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Cognitive Science, Music Minor, Bachelor's degree, Cognitive Science, Music Minor at University of California, Berkeley
Experiment and Data Analysis Scripts used to refine the Openness to Personal Growth Scale and conduct all python analysis as reported in "Beyond the Growth Mindset..."
Contributions:2 PRs, 17 pushes, 1 branch in 6 years 1 month
Contributions:29 commits, 4 pushes in 4 years 6 months
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