Mingzhang Yin
Assistant Professor at University of Florida - Warrington College of Business
Gainesville, Florida, United States
Summary
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Senior🎓
Top SchoolMingzhang 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.
10 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 AustinBachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at Fudan University
English, Chinese
Github Skills (18)
representation-learning10
variational-autoencoder10
uncertainty-quantification10
implicit-flow10
variational-inference9
meta-learning9
generalization9
mcmc9
discrete-optimization9
react8
autoencoder6
neural-network5
backpropagation4
reinforcement-learning2
maml1
Programming languages (4)
Github contributions (5)
mingzhang-yin/mingzhang-yin.github.io
Feb 2018 - Dec 2022
Personal webpage
Contributions:1075 commits, 1146 pushes, 4 branches in 4 years 10 months
reactpersonal-webpagewebpage
mingzhang-yin/Probabilistic-Best-Subset
Jun 2020 - May 2022
Contributions:16 commits, 10 pushes, 1 branch in 2 years
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