Summary
Yuxuan Li is an Assistant Professor at East China University of Science and Technology with nine years of experience at the intersection of statistics, machine learning, and industrial engineering. He holds a Ph.D. in Industrial Engineering and Management from Oklahoma State University and dual bachelor’s degrees in Economic Statistics and Statistics from Renmin University of China. Technically fluent in R, MATLAB, and Python, he applies rigorous quantitative methods to real-world engineering and management problems. A self-motivated quick learner, he blends academic research with practical computational skills to translate complex data into actionable insights. Based in Shanghai, he brings international training and a track record of interdisciplinary thinking to both teaching and applied research. Colleagues value his ability to bridge theoretical models and implementable solutions in applied statistics and ML.
9 years of coding experience
Bachelor's degree, Economic Statistics, Bachelor's degree, Economic Statistics at Renmin University of China
Ph.D., Industrial Engineering and Management, Ph.D., Industrial Engineering and Management at Oklahoma State University