Tong Lin is a Ph.D. student and Graduate Research Assistant at the University of Michigan with a decade of experience applying machine learning and NLP to social media research. His work bridges rigorous academic training—dual MS degrees in Operations Research and Data Science—and practical experimentation, including an Applied Scientist internship at Amazon focused on buyer risk prevention. Based in Ann Arbor, he combines strong quantitative foundations from Hong Kong Baptist University with entrepreneurial exposure as a visiting scholar at UC Berkeley. Tong is adept at translating complex social signals into actionable models and evaluation strategies, often focusing on real-world harms and risk detection rather than purely theoretical advances.
9 years of coding experience
Visiting Scholar, Entrepreneurship/Entrepreneurial Studies, Visiting Scholar, Entrepreneurship/Entrepreneurial Studies at University of California, Berkeley
Doctor of Philosophy - PhD, Information, Doctor of Philosophy - PhD, Information at University of Michigan
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Hong Kong Baptist University
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