Stanley Yang is a research engineer and Stanford graduate student with a decade of experience applying AI/ML to autonomy and biotechnology across startups and leading labs. He has built perception and planning systems for drones and autonomous vehicles, developed cell segmentation and bioinformatics models in industry, and contributed to ML research at SAIL under Andrew Ng. Currently focused on recursive self-improvement at Poetiq, he bridges hands-on engineering with research rigor and a knack for translating lab-scale models into deployable systems. Based in New York, he combines deep academic training with diverse industry experience—from Genentech and Roche to Nuro and biotech research labs—bringing a rare dual fluency in autonomy stacks and biological ML.
10 years of coding experience
4 years of employment as a software developer
Edgemont Junior-Senior High School
Master's degree, Computer Science, Master's degree, Computer Science at Stanford University
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