Jianhan Zhang is an undergraduate researcher and dual-major honors student in Data Science and Pure Mathematics at the University of Michigan with four years of hands-on experience bridging rigorous theory and applied research. Currently working on causal inference and fairness in reinforcement learning, Jianhan contributes to data-driven methods under faculty mentorship, bringing mathematical precision to practical problems in public health. Past roles in product management and venture analysis reflect an ability to translate user insights and market research into actionable product and strategic recommendations. Consistently maintaining a 4.0 GPA across rigorous programs and international study, Jianhan blends strong quantitative foundations with clear communication skills and a knack for making complex ideas accessible to diverse stakeholders.
Contributions:5 releases, 9 reviews, 4 PRs in 8 months
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