Assistant Professor at University of Florida - Warrington College of Business
Gainesville, Florida, United States
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Summary
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Senior
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Mingzhang Yin is an assistant professor at the University of Florida with nine years of research and industry experience grounded in a Ph.D. in Statistics from UT Austin and a postdoc at Columbia. His work spans Bayesian methods, probabilistic machine learning, causal inference, and quantitative marketing, blending theoretical development with practical applications. He has collaborated with leading teams during research internships at Google Brain and in quantitative research settings, bringing rigour to real-world problems. Mingzhang’s academic trajectory and cross-sector experience position him to translate advanced probabilistic techniques into data-driven decision tools for business and policy. A detail that sets him apart is his balanced focus on causal questions within Bayesian frameworks, enabling more robust inference in marketing and observational studies.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at The University of Texas at Austin
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at Fudan University
A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)
Contributions:23 commits, 2 PRs, 22 pushes in 2 years 4 months
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Mingzhang Yin - Assistant Professor at University of Florida - Warrington College of Business