Zhendong Sha obtained his Master’s degree in Computer Science from the Department of Computer Science at the University of New Brunswick. Under the supervision of Dr. Ting Hu at Queen’s, his Ph.D. research covered machine learning methods for solving problems in genome-wide association studies with an emphasis on gene-gene interaction and genetic heterogeneity.

Zhendong’s primary research areas are feature selection using evolutionary computation and network science. Through his long-term research goals, Zhendong aims to develop a comprehensive analytical framework that will provide clinicians with disease risk predictive models and personalized treatment plans based on a patient’s genetic background.

He is scheduled to commence a postdoctoral position at the Cleveland Clinic beginning in 2024.