معرفی
Min Qian is an Associate Professor of Biostatistics at Columbia University Mailman School of Public Health, specializing in data analytic methods for health decision-making. She is affiliated with the Foundations of Data Science, Health Analytics, and Education centers.
- Current role: Associate Professor of Biostatistics
- Institution: Columbia University Mailman School of Public Health
- Email: mq2158@cumc.columbia.edu
Research Focus
Dr. Qian develops advanced statistical and machine learning techniques for:
- Reinforcement learning in sequential decision-making
- Statistical inference for non-regular parameters
- Sequential Multiple-Assignment Randomized Trials (SMART)
- Mobile health applications
Her work addresses health outcomes in cardiovascular disease, cognitive impairment, and psychiatric conditions, leveraging longitudinal and microbiome data.
Publication Trends
Her recent articles emphasize:
- Survival analysis for cancer outcomes
- Microbiome-based prediction models
- Cognitive intervention trials for aging populations
- Machine learning in cardiovascular risk stratification
- Statistical methods for individualized treatment regimes
Affiliations
- Foundations of Data Science
- Health Analytics
- Education Center
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