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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.
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
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
2020 - present, Associate Editor for Journal of the American Statistical Association.
2019 - 2022, IMS Committee on Travel 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.
