Workforce Dynamics Data Science Research Intern
Education: BS in progress, Industrial Engineering & Management Science, Economics
Role: Kun is involved in data preparation and analyses for publications based on the Workforce Dynamic Project.
Interests: Data science, economics, human rights, international affairs
Office: Frances Searle Building 1-459
Phone: (224) 509-0653