Summary
Zachary Burchill is a data scientist specializing in Generative AI trust, safety, and algorithmic fairness with a decade of experience spanning industry and cognitive science research. At Meta’s Superintelligence Lab he measures and mitigates political bias and sensitive content across LLMs and multimodal GenAI, driving international expansion of image/video safety to 30+ countries while cutting labeling costs by a third. Previously he led large-scale fairness studies covering 140+ languages and 440 language experts, developing novel methodologies that influenced policy and product decisions. As a PhD student in Brain and Cognitive Science, his research on rapid adaptation to accented speech and on statistical assumptions informs a rare combination of human-centered experimental rigor and production ML practice. He’s fluent in R and Python, builds scalable analysis pipelines (including a remote cluster running millions of models), and has a track record translating research insights into measurable product safety improvements. Based in New York, he pairs deep academic curiosity with hands-on impact at the intersection of language, perception, and responsible AI.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Brain and Cognitive Science, Doctor of Philosophy (Ph.D.), Brain and Cognitive Science at University of Rochester
Bachelor of Arts (B.A.), Linguistics (minor in Computer Science), Bachelor of Arts (B.A.), Linguistics (minor in Computer Science) at University of Pennsylvania