John Thickstun is an Assistant Professor and machine learning researcher specializing in generative models and time series, with 19 years of experience spanning systems software, quantitative finance, project management, and academic research. He brings a strong publication record at top venues (ICML, NeurIPS, ICLR, EMNLP, ICASSP, ISMIR) and recent appointments at Stanford and Cornell that bridge cutting-edge ML theory with applied systems. His background includes production-facing roles in finance and software engineering as well as industry fellowships and advisory positions, giving him a rare combination of research rigor and real-world deployment experience. Based in Ithaca, he also advises startups in the DeepTech and AI space, translating generative-model advances into practical products.
19 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Washington
Bachelor of Science (BSc) Applied Mathematics, Bachelor of Science (BSc) Applied Mathematics at Brown University
High School Bridge Program, High School Bridge Program at Hamilton College
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