Yang is a graduate student at Queen's School of Computing.
He obtained his masters degree at the Department of Mathematics, University of Manitoba,
with a specialization in Biomathematics. Yang also worked in CancerCare Manitoba as an algorithm developer.
With experience in mathematical modelling, statistics and programming, Yang is interested in the development of novel algorithms to achieve some specific targets.
Yang has been working on multi-omics data integration in the lab. In order to integrate data “organically”, he has studied many algorithms and methodologies, such as Canonical Correlation Analysis, Network Analysis (probabilistic and non-probabilistic network), regression analysis, supervised and non-supervised machine learning algorithm (classification and clustering) and many others.
Currently, Yang is working on the development of novel model for the Epistasis SNPs Network Analysis (ESNA), where ESNA leverages Cloud computation, Data optimization, Open-source development for clustering algorithm, GPU implementation, computational parallelization, and so on.