Justin Shenk is an AI safety facilitator and interdisciplinary researcher with 10+ years building machine learning systems across neuroscience, computer vision, and startup product engineering. He co-founded VisioLab and open-source teams like Traja, led ML and infrastructure at companies from Intel to Simerse, and now focuses on mechanistic interpretability of LLMs while teaching AGI strategy and technical safety courses. Comfortable switching between hands-on model/edge deployments and strategic curriculum design, he has a rare blend of wet-lab neuroscience training (PhD) and production ML experience. Based in Berlin, he also organizes AI Salon Berlin to connect technical research with social values, reflecting his interest in the socio-technical systems that shape learning at scale.
10 years of coding experience
11 years of employment as a software developer
PhD, Neuroscience, PhD, Neuroscience at Radboud University
University of Texas at San Antonio
MS, Artificial Intelligence / Cognitive Science, MS, Artificial Intelligence / Cognitive Science at Universität Osnabrück
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