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Chaofan Zhai

PhD Student
Information & Decision Sciences

Contact

Education:

  • M.S. Applied Data Science 2020
    University of Southern California
  • B.S. Information System 2017
    Shanghai University of Finance & Economics

Biography

POSITIONS/EMPLOYMENT

Instructor

  • IDSC 4444 (undergrad core): Descriptive and Predictive Analytics (Fall 2023)
  • Course information: 100 minutes per session, 14 sessions in total
  • Instructor evaluation: 5.61 / 6; Course evaluation: 5.47 / 6; Response ratio: 100%
  • IDSC 4444 (undergrad core): Descriptive and Predictive Analytics (Spring 2023)
  • Received 2022-2023 Carlson School of Management Ph.D. Student Teaching Award
  • Course information: 100 minutes per session, 14 sessions in total
  • Instructor evaluation: 5.53 / 6; Course evaluation: 5.36 / 6; Response ratio: 74.42%

 

Teaching Assistance & Research Assistance

  • CMBA 5832 (EMBA): Advanced Management Topic Elective: Business Analytics for Competitive Advantage (Spring 2023)
  • MABA 6431 (MA): Advanced Topics in Business Analytics (Fall 2022, Fall 2021)
  • MSBA 6430 (MS): Advanced Issues in Business Analytics (Summer 2022, Summer 2021)
  • IDSC 4110 (undergrad): Data Engineering for Business Analytics (Fall 2020)
  • Research Assistant for Information and Decision Sciences Department (since September 2020)

 

HONORS AND AWARDS

University of Minnesota

  • 2022-2023 Carlson School of Management Ph.D. Student Teaching Award (August 2023)

Carlson School of Management, University of Minnesota

Course: IDSC 4444 Descriptive and Predictive Analytics, Spring 2023

  • Ph.D. Student Conference/Travel Fellowship (2020 – Now)

Carlson School of Management, University of Minnesota

  • Carlson and Willoughby IDS Ph.D. Fellowship (2020 – Now)

Carlson School of Management, University of Minnesota

  • Ph.D. Student Summer Research Fellowship (2020 – Now)

Carlson School of Management, University of Minnesota


Working Papers 

  • Chaofan Zhai, Yicheng Song, Ravi Bapna, "An Advanced Deep-Learning Technique for Efficient Knowledge Retention" (invited) Production and Operations Management Society (POMS) Minneapolis, 2024.
  • Chaofan Zhai, Amit Mehra, Ravi Bapna, "Cashback and Certification Strategies in Online Education" Conference on Information Systems and Technology (CIST). Indianapolis, 2022. 
  • Chaofan Zhai, Sofia Bapna, Connie Wanberg, Ravi Bapna, "AI in Organization: A Large-Scale Field Experiment in India" 
  • Chaofan Zhai, Xuan Bi, Angela Aerry Choi, Chad Yi-Chun Ho, "An Advanced Recommender System for Influencer Economy"
  • Chaofan Zhai, Xuan Bi, Mochen Yang, "A Novel Stackelberg Game to Under the Incentivization of Federated Learning" INFORMS Annual Conference. Indianapolis, 2022. 

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