Harrison Lee is an alignment researcher and Member of Technical Staff currently at Anthropic, with nine years of experience advancing safe and capable AI systems. Previously a Staff Research Scientist at Google DeepMind, he focused on reinforcement learning and alignment techniques for LLMs, exploring self-improvement, reasoning, and iterative refinement. His background spans industry applications of ML—from combating misinformation at Facebook to predictive analytics and ETL for large-scale A/B experiments—and early work in international development and nonprofit growth. Trained as a mechanical engineer at UC Berkeley, he brings a cross-disciplinary perspective that blends rigorous quantitative methods with practical deployment experience. Notably, his research profile on Google Scholar highlights a sustained academic engagement alongside high-impact industry roles.
9 years of coding experience
10 years of employment as a software developer
BS, Mechanical Engineering, BS, Mechanical Engineering at University of California, Berkeley
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