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Min Qian is an Associate Professor of Biostatistics at the Mailman School of Public Health, Columbia University. His research focuses on the development of data analytic methods that utilize big data to inform decision-making in health applications. His areas of expertise include reinforcement learning for sequential decision making, statistical inference for non-regular parameters, and the design of sequential multiple-assignment randomized trials (SMART). Additionally, he works on mobile health applications, contributing to innovative solutions for health-related challenges. With an academic background rooted in biostatistics, Dr. Qian's work integrates complex data analysis with practical health outcomes, making significant contributions to the field.
Department of Anthropology (GSAS)