Summary
Philip Shamash is a research scientist and Python-savvy data analyst with a decade of experience dissecting systems, behavioral, and cognitive neuroscience across academia and industry. He transitioned from a PhD at UCL studying neural activity and behavioral modeling to applied neural interface research at Meta, bringing hands-on expertise in neurophysiology, behavioral modeling, and large-scale data pipelines. His background spans circuit- and cellular-level experiments through to computational analysis, giving him a rare end-to-end perspective on experimental design and signal interpretation. Comfortable shipping analysis code and prototypes, he blends rigorous hypothesis-driven research with pragmatic engineering—an asset when moving neural insights toward usable interface technology.
8 years of coding experience
2 years of employment as a software developer
B.S., Major in Neuroscience & Minor in French, B.S., Major in Neuroscience & Minor in French at University of California, Los Angeles