Simiao Zuo is a PhD student in Machine Learning at Georgia Tech with eight years of industry and research experience bridging principled ML and applied NLP. He has interned multiple times at Microsoft and Amazon as a data scientist and applied scientist, bringing production-focused perspectives to research on weak supervision, adversarial training, and point processes. Comfortable moving between theory and engineering, he focuses on designing robust algorithms that scale to real-world data and deployment constraints. Based in Atlanta, he pairs dual undergraduate degrees in mathematics and computer science from UT Austin with hands-on experience delivering ML solutions at top tech firms. An understated strength is his repeated internships at the same organizations, signaling the ability to make sustained impact across collaborative teams.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at The University of Texas at Austin
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Georgia Institute of Technology
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Simiao Zuo - PHD Student at Georgia Institute of Technology