宋鹏超

鹏超 (Pengchao Song) is a recent PhD graduate in Mechanical Engineering with five years of research experience in structural-thermal analysis and stochastic uncertainty modeling. They have a strong background in Solid Mechanics and Structural Dynamics, complemented by their computational programming and FEA skills. As a Postdoctoral Researcher at Arizona State University, they developed efficient uncertainty modeling methods and built Reduced Order Models for complex coupled problems. Currently, they work as a pioneering R&D Engineer at 美的集团 while actively seeking full-time opportunities.