Joseph Tey is a research-focused software engineer in the San Francisco Bay Area with nine years of experience at the intersection of machine learning, education, and product engineering. Currently working on genomic language models at the Arc Institute and pursuing research at Stanford AI Lab, he blends human-centered education interfaces with cutting-edge ML research. He has co-founded an edtech startup to scale oral assessments, helped companies cut carbon in a product engineering role, and contributed engineering and research to multiple education-focused projects and platforms. Joseph’s background spans Stanford CS degrees, a stint in history at Oxford, and practical cloud and product work across startups and enterprise migrations—an uncommon mix that fuels both rigorous research and pragmatic product delivery.
9 years of coding experience
5 years of employment as a software developer
History, History at University of Oxford
Haileybury
Master's degree, Computer Science, Master's degree, Computer Science at Stanford University
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