Bio



Iam a fifth-year Ph.D. candidate in the Management Information Systems Department at the University of Arizona. I am on the job market in the 2019-2020 academic year and will graduate by May 2020.

My research interests lie in deep learning, health risk analytics, and business analytics. My dissertation – titled "Big Data-Based Health Risk Analytics: A Deep Learning Approach" – develops novel deep learning methods to understand, predict, and mitigate three levels of critically important health risks: patient behavioral risk, disease risk, and policy risk.

My prior works have been published or under deep round of reviews at many premier journals, including MIS Quarterly, Information Systems Research, and the Journal of American Medical Informatics Association (JAMIA).

Education

  • 2015-2020 (Expected)Ph.D., The University of Arizona

    Ph.D. in Management Information Systems
    Eller College of Management

  • 2011-2015B.A., Renmin University

    B.A. in Management Science and Engineering
    Renmin Business School

  • 2017-2018Certificate, The University of Arizona

    Certificate of College Teaching
    Graduate College

Selected Awards and Honors

2019


Departmental Nominee for ICIS Doctoral Consortium, Munich, Germany

2019


Doctoral Consortium Fellow, Americas Conference on Information Systems (AMCIS)

2019


James F. LaSalle Teaching Excellence Award

2018


Doctoral Consortium Fellow, Conference on Health IT and Analytics (CHITA)

2018


Best Paper Runner-Up, International Conference for Smart Health (ICSH)

2015


Nunamaker-Chen MIS Doctoral Scholarship