Kevin Chern

Kevin Chern is a researcher in the Department of Statistics at the University of British Columbia’s Faculty of Science. His work bridges quantum computing, Bayesian statistics, and computational biology. Key research interests include quantum simulation optimization, probabilistic programming frameworks (e.g., Blang), and bioinformatics applications such as spatial proteomics and cancer phylogenetics.

His recent publications (2019–2025) focus on advancing quantum annealing calibration, Bayesian clustering methods for spatial data, and scalable inference of phylogenetic trees from single-cell genomic data. He has contributed to foundational work in quantum supremacy and probabilistic modeling of combinatorial spaces.

While no explicit awards or grants are listed here, his involvement with the Applied Statistics and Data Science Group (ASDa) and participation in seminar series suggest active engagement with interdisciplinary research and education initiatives.