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Research Interests:

My research is primarily focused on  the development of data analytic methods to make better use of "big" data for informing decision making in health applications. This includes
      1) reinforcement learning for sequential decision making;
      2) statistical inference for non-regular parameters;
      3)
sequential multiple-assignment randomized trials (SMART); and
      4) mobile health applications.

I also have broad interests in applied statistics. I have been collaborating with scientists in different areas, including Psychiatry, Cardiology, Bioinformatics, Radiology and Epidemiology.

Education:

2010  Ph.D. in Statistics, University of Michigan, Ann Arbor, MI.

2004  M.S. in Statistics, University of Toronto, Canada

2002  B.Econ. and B.S. in Economics and Mathematics, Wuhan University, China

Professional Services:

        2020 - present, Associate Editor for Journal of the American Statistical Association.

        2019 - 2022, IMS Committee on Travel Awards.

Honors and Awards:

2015,  Journal of the American Statistical Association-T&M Editor Selected Discussion Paper (one paper per year highlighted in a special invited session at the Joint Statistical Meetings)

2014, Calderone Research Prize for Junior Investigators, Columbia University.



Min Qian (钱敏)

Associate Professor
Department of Biostatistics
Columbia University
722 West 168th St. Rm 645
New York, NY 10032
Tel: (212) 305-6448
Email: mq2158@cumc.columbia.edu