Xueze Song

• B.S., Management Science, Huazhong University of Science Technology, 2019

• Song, X., Mehrotra, M., & Rajapakshe, T. (2023). An Analysis of Incentive Schemes for Participant Retention in Clinical Studies. Manufacturing & Service Operations Management, https://doi.org/10.1287/msom.2022.1184.  link >

My primary teaching interests are in Operation Management and Business Analytics.
I am also interested in teaching Supply Chain Management, Supply Chain Analytics, Healthcare Analytics, Quantitative Methods, Probability and Statistics.

My research is dedicated to healthcare operations with two primary focuses:
(1) how to improve participant retention in clinical studies;
(2) how to design state-of-the-art machine learning techniques to advance decision-making.
Please visit my personal website at: https://xuezesong.com/

• Business Analytics II (BADM 211) Builds on the foundation from the Business Analytics I (BADM 210), synthesizes concepts through hands-on application and project-based learning. Focuses on data acquisition, organization, analysis and visualization in a business setting. Expanding on the use of statistics in generating basic inferences to predictive modeling Identify opportunities for improving business decisions using data, conduct relevant analysis of the gathered and cleaned data, and finally, interpret and present analysis outcomes to decision makers. Using statistical tools and software applications to identify business problems, acquire relevant data, and generate analytic solutions using advanced analytics techniques and tools for generating insights. Introduces the students to analyzing, learning, and prediction using advanced analytics techniques and tools for generating business insights. This course will provide a practical introduction to various techniques regarding clustering, text mining, classification and decision trees, and time series analysis. Finally, the course will introduce advanced and emerging topics in predictive analytics.

• Operations Management (BADM 275) Operations Management is about developing, producing, and delivering goods and services that meet and exceed customer expectations. In this course, students will be introduced to decision making frameworks and techniques for effectively and efficiently managing operations through coordinated efforts across different organizations in a supply chain and across multiple areas within an organization. These multiple areas could be consumer analytics, research and development, finance, engineering, marketing, human resource management, sourcing, information systems, logistics, and accounting.