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Baoxiang LI has diverse work experience in various roles and industries. From 2019 to the present, they have been working as a Lead Optimization Scientist at Workforce Optimizer - AI Enabled WFM. Baoxiang'sresponsibilities in this role include utilizing AI technology and optimization techniques to solve large-scale optimization problems. Baoxiang is skilled in coding languages such as Kotlin, Python, Java, Camunda, Spring boot, Script languages, and SQL.

Prior to this role, from 2016 to 2019, LI worked as a Research Fellow at Fujitsu-SMU Urban Computing and Engineering Corporate Lab. Here, they conducted research in the field of urban computing and engineering.

From 2011 to 2016, LI was a Phd student (Operation Research) at Eindhoven University of Technology. During this time, they focused on their research and authored working papers.

In 2015, LI gained practical experience as an Intern/Algorithm Developer at Sabre Airline Solutions. Additionally, they worked as a Research Engineer at Fujitsu-SMU for a short period of time.

Overall, LI has a strong background in optimization science, AI technology, research, and algorithm development.

Baoxiang Li's education history includes a Master's degree from South China University of Technology, obtained between 2006 and 2009. Prior to that, Li attended Shandong University from 2002 to 2006, although the specific degree obtained is unknown. From 2011 to 2015, Li attended Eindhoven University of Technology, but the degree and field of study are not provided. In addition to these formal educational experiences, Li has obtained certifications in various data analysis and technology-related subjects from Dataquest.io, including APIS and Web Scraping, Data Analysis, Data Analysis with Pandas: Intermediate, Exploratory Data Visualization, and SQL and Databases: Advanced.