Ivy Profile
Title: Assistant Professor
Department: Information Systems and Business Analytics
Office: 3332 Gerdin
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(515) 294-2469
Bio
Wenli's research interests revolve around the areas of data science and information system design, especially in developing techniques based on deep learning, machine learning, natural language processing, network analysis, and distributed computing for solving real-world problems within the context of healthcare and other business concerns. Her current research focus is on developing innovative information technologies to lower healthcare costs, improve healthcare process, and improve chronic disease control.
Expertise
- Machine Learning
- Artificial Intelligence
- Data Mining
- Healthcare Analytics
- Natural Language Processing
- Social Network Analysis
Awards
Best Dissertation Proposal Award, Workshop on Information Technologies and Systems (WITS) 2017
Meritorious Mention, Association for Information Systems (AIS) - SIG Health 2016
Best Paper Award, the 6th Chinese Academy of Management Annual Meeting (CAMAM) 2011
Selected Publications
- Zhang, W., Xie, J., Zhang, Z., & Liu, X. (forthcoming) "Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach", Journal of Management Information Systems, Link to Paper
- Zhang, W., & Ram, S. (2020) "A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources", MIS Quarterly: Management Information Systems, 44 (1b):305-349. Link to Paper
- Ram, S., Zhang, W., Williams, M., & Pengetnze, Y. (2015) "Predicting Asthma-Related Emergency Department Visits Using Big Data", 19 (4):1216-1223. Link to Paper