Summary
Phillip Witkowski is a postdoctoral researcher at NIDA with nine years of research and data science experience focused on the neural mechanisms of motivation and decision making. He holds a PhD (in progress) and dual high‑honors undergraduate degrees from UC Davis, and brings advanced proficiency in Python, R, and MATLAB alongside intermediate JavaScript. His work spans experimental design, large-scale data analysis (including datasets up to millions of entries), and computational approaches like machine learning, reinforcement learning, and Bayesian statistics. Phillip has a track record of building custom data-collection tools and experiment code, translating cognitive science questions into reproducible computational pipelines. Based in Baltimore, he blends rigorous psychological theory with practical data engineering, often combining eye-tracking, behavioral experiments, and programmatic web data scraping to uncover subtle attention and decision biases.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, PSYCHOLOGY, A+, Doctor of Philosophy - PhD, PSYCHOLOGY, A+ at University of California, Davis
English, Spanish