McClelland Hall 430
1130 E. Helen St.
P.O. Box 210108
Tucson, Arizona 85721-0108
Areas of Expertise
- Deep learning
- Data and text mining
- Health risk analytics
Bachelor of Management Science and Engineering, Renmin University of China, 2015
I am 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 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 multi-faceted health risks from three progressive yet integrated levels: patient behavioral risk, disease risk, and policy risk. My prior works have been published or under deep round review at many premier journals, including MIS Quarterly, Information Systems Research, and Journal of American Medical Informatics Association (JAMIA).
Awards and Honors
- 2019, James F. LaSalle Teaching Excellence Award
- 2018, Doctoral Consortium Fellow, Conference on Health IT and Analytics (CHITA)
- 2018, Best Paper Runner-Up (ICSH 2018)
- 2015, Nunamaker-Chen MIS Doctoral Scholarship
- Dr. Daniel Zeng