Summary
Phillip Maire is an AI Data Scientist with a PhD in neuroscience from USC and a decade of experience translating advanced ML research into production healthcare and industry solutions. He built WhACC, a ResNetV2–LightGBM hybrid that achieves human-level video classification for rodent whisker contact and includes a GUI-enabled retraining pipeline to handle data drift—saving hundreds of lab-hours and demonstrating practical, reproducible research. His work spans vision transformers, time-series modeling, and bespoke feature engineering, and he has deployed containerized MLOps pipelines for clinical diagnostics and financial tooling. An instructor at Caltech and a consultant to startups, Phillip blends rigorous academic modeling (GLMs, LSTMs) with hands-on product delivery and novel AI alignment experiments, such as Persona Vector Immunization. He is based in Los Angeles and actively brings research-grade methods to real-world ML problems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Neuroscience, Doctor of Philosophy (Ph.D.) Neuroscience at University of Southern California
Bachelor of Science (BS) Psychology, Bachelor of Science (BS) Psychology at University of Louisville