Summary
Bi Wu is an Associate Lecturer and statistician with eight years of experience applying advanced statistical methods, machine learning, and high-throughput computing to research and teaching. Based in Madison, WI, they design and teach data science courses focused on R, Monte Carlo methods, regression, and decision trees while mentoring students through hands-on workshops and collaborative problem solving. Their research background includes Monte Carlo simulations and real-time signal processing for particle-physics experiments (HAWC, IceCube) and astronomical data analysis, bridging domain science with robust computational workflows. Comfortable communicating quantitative results to varied audiences, Bi combines academic rigor with practical experience in HPC-style statistical computing. Outside of work they balance analytical precision with creative pursuits like acroyoga, archery, and backgammon, reflecting a collaborative and adventurous problem-solving approach.
8 years of coding experience