Kenny Chiu

Kenny Chiu is a Ph.D. Statistics candidate and Sessional Lecturer at the University of British Columbia's Department of Statistics within the Faculty of Science. Supervised by Benjamin Bloem-Reddy, he teaches undergraduate statistics courses including STAT 306: Finding Relationships in Data and serves as a TA Trainer for new teaching assistants.

• Ph.D. Statistics (2021-Present)
• M.Sc. Statistics (2019-2021)
• B.Sc. Combined Honours in Computer Science and Statistics (2013-2018)

His research focuses on symmetry applications in statistical inference and computation, developing methods for identifying distributional symmetries from data with applications spanning statistics, machine learning, and scientific discovery. He actively contributes to Flexible Learning initiatives developing statistics educational resources and facilitates Instructional Skills Workshops for graduate students through UBC's Centre for Teaching, Learning and Technology.

His publication portfolio demonstrates expertise in symmetry-based hypothesis testing, particularly with applications to particle physics as evidenced by his NeurIPS 2023 workshop paper. His work combines theoretical statistical innovation with practical computational implementations, reflected in his publicly available GitHub repositories containing Julia code for symmetry testing frameworks.

As an educator, Chiu has extensive teaching experience across multiple statistics courses including STAT 305, STAT 404, and SCIE 300, demonstrating commitment to both undergraduate instruction and graduate teaching development through his TA training role since 2021.