Yi Zhu

Yi Zhu

PhD Student
Information & Decision Sciences

Contact

612-626-0422
4-363 CSOM
Google Scholar

Education:

  • PhD, 2024 (expected)
    Information and Decision Sciences, University of Minnesota
  • MS, 2019
    Business Analytics, Drexel University
  • MS, 2015
    Journalism, University of Illinois at Urbana-Champaign
  • BA, 2014
    English, Communication University of China

Expertise:

  • Natural Language Processing
  • Big Data Analytics
  • Machine Learning
  • Healthcare IT
  • Financial Technology

Biography

Yi Zhu is a second-year Ph.D. student in the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota. His research interests lie in the intersection of internet platforms, healthcare IT, and financial technology. In his research, he adopts various quantitative methods, including machine learning, natural language processing, and econometric modeling. His work has been published in some leading journals such as Journal of General Internal Medicine and Public Health Review. He has also presented his work in some of the top information system conferences, including International Conference on Information Systems (ICIS) and Workshop on Information Technologies and Systems (WITS). He is currently working on analyzing how consumers react to major technology infrastructure upgrades, how COVID-19 hospitalization is associated with the mortality rate, and how to improve the fitness mobile app users' adherence to regular physical activities. Mr. Zhu has won a BOLD IDEAS grant from Office of Academic Clinical Affairs, University of Minnesota, and was the champion in the first University of Minnesota Interdisciplinary Health Data Competition. He strives to become a key scholar in information systems and seeks a faculty position at a top-ranked business school after graduation.

Selected Works & Activities.

  • Journal Articles
    Karaca-Mandic, P., Sen, S., Georgiou, A., Zhu, Y., & Basu, A. (2020). Association of COVID-19-Related Hospital Use and Overall COVID-19 Mortality in the USA. Journal of General Internal Medicine.
    Link
  • Journal Articles
    Zhou, J., Everhart, A., Smith, L. B., Qiu, Y., & Zhu, Y. (2020). The Economic Burden of Extended—Release Pharmaceuticals in Minnesota. Public Health Review.
    Link
  • Conference Proceedings
    Zhu, Y., Everhart, A., Karaca-Mandic, P., & Sen, S. (2020). Using NLP to Extract Predicate History from Medical Device Approvals. International Conference on Information Systems (ICIS). Hyderabad, India: Association for Information Systems (AIS).
    Link
  • Conference Proceedings
    Zhu, Y., Sen, S., Karaca-Mandic, P., Georgiou, A., & Vu, K. (2020). An Interactive Web-Based Dashboard for COVID-19 Hospitalizations in the U.S. . Workshop on Information Technologies and Systems (WITS). Hyderabad, India.
    Link
  • Other
    Karaca-Mandic, P., Georgiou, A., Sen, S., Zhu, Y., Vu, K., & Everhart, A. (2020). Early Insights from the University of Minnesota’s COVID-19 Hospitalization Tracking Dashboard (4/13, University of Minnesota). Health Management, Policy & Innovation.
    Link
  • Other
    Levin, Z., Choyke, K., Geogiou, A., Sen, S., & Karaca-Mandic, P. (2021). Trends in Pediatric Hospitalizations for Coronavirus Disease 2019. JAMA Pediatrics.
    Contributor
  • Other
    Karaca-Mandic, P., Georgiou, A., & Sen, S. (2020). Assessment of COVID-19 Hospitalizations by Race/Ethnicity in 12 States. JAMA Internal Medicine.
    Contributor
  • Other
    Sen, S., Karaca-Mandic, P., & Georgiou, A. (2020). Association of Stay-at-Home Orders With COVID-19 Hospitalizations in 4 States. JAMA, 323(24):2522-2524.
    Contributor
  • Current Research

    COVID-19 Hospitalization Tracking Project. Tracking daily hospitalization data to quantify the current impact on local hospital systems, model and forecast future utilization needs, and track the rate of change in the disease severity. 

  • Honors and Awards

    First place of the UMN first Interdisciplinary Health Data Competition. Project topic: The Economic Burden of Extended-Release Pharmaceuticals in Minnesota. (April 2020)

  • Research Grants

    BOLD IDEAS Grant, Office of Academic Clinical Affairs, University of Minnesota, $30,000. Project topic: Using Natural Language Processing to Extract Predictors of Medical Device Adverse Events. (February 2020) 

  • Scholarly Service

    TA: MSBA 6130 (001/002) Introduction to Business Analytics in R (Fall 2020)

    TA: MSBA 6440 (001/002) Causal Inference via Econometrics and Experiments (Spring 2020)

    TA: IDSC 6050 (070) Information Technologies and Solutions (Fall 2019)

  • Media Coverage

    New research finds association between COVID-19 hospital use and mortality

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