SEPTEMBER 16, 2021
New research supports stricter social and economic mandates to reduce COVID-19 spread
Qihuang Zhang
Hello! I am an assistant professor at McGill University, Department of Epidemiology, Biostatistics and Occupational Health. Prior to that, I was a post-doc working with Dr. Mingyao Li and Dr. Rui Xiao at the University of Pennsylvania. I received my Ph.D. from the Department of Statistics & Actuarial Science at the University of Waterloo (2017-2020), under the supervision of Dr. Grace Y. Yi. I was also a sessional lecturer at Western University.
My research centers around the development of statistical methods for genetic association studies, RNA sequencing, and spatial multi-omics. Basically, I strive to make sense of complex data by addressing measurement error, misclassification, graphical association structure, and the curse of dimensionality. Lately, I have been diving into the field of deep learning and working on developing methods to analyze spatial transcriptomics and spatial metabolomics data. These methods aim to provide valuable insights into the spatial organization of molecules, cells, and tissues from a statistician's perspective, with the potential to yield significant benefits for medical research.
Fun fact: My last name sounds like "John". My name is pronounced like "Chi-Huang John".
I am recruiting self-motivated Master's and PhD students, postdocs, and research interns interested in statiatical modeling and machine learning, with applications in genomics data!
Email: qihuang.zhang [at] mcgill [dot] ca
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