Ka Chun Chong

A computational model predicts influenza virus evolution and aids in vaccine strain selection by modeling site-wise mutation dynamics.

The paper introduces a Bayesian framework called Prism Vote to improve risk prediction in multi-population genome-wide sequencing data by integrating subpopulation-specific predictors.

This study quantifies the temporal changes in SARS-CoV-2 genetic distance across different proteins during the pandemic, showing continuous evolution in specific regions.