Gregor Urban is a Software Engineer at Google/YouTube with nine years of experience building and productionizing machine learning systems, including work to improve Ads CTR prediction. He holds a PhD in Computer Science from UC Irvine and a strong physics foundation from Heidelberg, where his academic research produced a widely cited deep learning skull-stripping system. Gregor’s background blends applied research and engineering—multiple Microsoft research internships yielded publications and a patent—so he moves smoothly from model innovation to scalable deployment. Based in Mountain View, he focuses on ML-driven product improvements and brings a track record of turning novel research into high-impact, production-ready systems.
9 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Physics, 1.2 (A), Bachelor’s Degree, Physics, 1.2 (A) at Heidelberg University
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