Shaowei Wu

Shaowei Wu is a highly skilled professional with extensive experience in machine learning and data analysis, primarily within the fields of physics and advanced technology. Recent roles include a Machine Learning Engineer Intern position at Seagate Technology, where innovative computer vision solutions were developed, and a Software Engineer Intern position at Meta focused on AI integrity. Previous experience includes serving as a Teaching and Research Assistant at the University of Minnesota, conducting optimization of deep learning models for neutrino energy estimation, and a CERN Summer Student Intern role focused on constructing statistical models for particle spectrum analysis. Shaowei Wu holds a Bachelor's degree in Physics from Sichuan University and is currently pursuing a PhD in Physics at the University of Minnesota, maintaining a perfect academic record.