Shan Zhong

Shan Zhong is a proficient Machine Learning Engineer at Neolix since June 2022, focusing on autonomous vehicle dispatch algorithms. Prior experience includes serving as a Teaching Assistant at the University of South Carolina from August 2018 to May 2022, where instruction was provided for STAT 201 Lab. Shan Zhong functioned as an Actuarial Consultant at Yu Chun Business Consulting, automating web data scraping and constructing databases using Python. Additional experience includes developing Poisson regression models at Guy Carpenter and evaluating gaming strategies as a Math Modeling Intern. Academic credentials comprise a PhD in Statistics from the University of South Carolina, an MS in Actuarial Science from Columbia University, and a BS in Mathematics and Economics from Southern Utah University.