Summary
Alexandre Filipowicz is an AI Evaluation Data Scientist in the San Francisco Bay Area with over a decade of experience building explainable models of human behavior and cognition and translating them into real-world systems. He has led interdisciplinary research programs at Toyota Research Institute and Apple that fused behavioral modeling, physiological sensing, and energy systems to produce publications, patents, and deployed prototypes. A clear communicator and mentor, he’s delivered 50+ presentations and workshops, co-authored 30+ publications, and helped secure substantial research funding during his academic career. His work uniquely blends cognitive neuroscience rigor (PhD, Waterloo) with practical engineering—examples include 50–100x algorithm speedups and productionized explainable-AI components. Fluent in English and French and authorized to work across the US, Canada, and the EU, he thrives at the intersection of research, product, and cross-functional collaboration.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD Cognitive Neuroscience, Doctor of Philosophy - PhD Cognitive Neuroscience at University of Waterloo
English, French, Spanish