Summary
Evan Rodgers is a research-focused data scientist based in San Francisco with 7 years of experience applying machine learning to biomedical and behavioral data. Currently a Research Assistant at UCSF’s Emergency Data Lab, he previously modeled relationships between biometric signals, chronic pain, and depression using Random Forests and regularized regression in a computational neuroscience internship. Trained in cognitive psychology (BS) with an associate degree from City College of San Francisco, he blends domain knowledge of human behavior with quantitative modeling skills to extract clinical insights from noisy, real-world datasets. Evan’s work sits at the intersection of clinical research and reproducible data science, and he brings hands-on experience translating sensor-derived features into predictive signals for mental and physical health.
7 years of coding experience
Bachelor's degree, Cognitive Psychology, Bachelor's degree, Cognitive Psychology at San Francisco State University
Associate's degree, Associate's degree at City College of San Francisco