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Pingzhao Hu PhD

Currently accepting students.

1. Master's and PhD students: trained in statistics or computer science. If students are trained in human genetics, they need to have strong programming skill. GPA>3.5 (University of Manitoba scale).

2. Postdoctoral fellow, trained in statistics or computer science.

Current Position

Assistant Professor, Department of Biochemistry and Medical Genetics, George & Faye Yee Centre for Healthcare Innovation, University of Manitoba; Research Scientist, Children’s Hospital Research Institute of Manitoba; Assistant Professor (status), Division of Biostatistics, University of Toronto

History

2012, PhD, York University

Research Focus

I was trained in applied statistics and computer science and have more than 10-year research experience in bioinformatics and statistical genetics in one of Canada leading genome centres (The Centre for Applied Genomics at The Hospital for Sick Children, Toronto). My primary research interests are related to computational biology, also referred to as bioinformatics. The majority of my research has focused on the development and application of computational and statistical techniques that utilize large amounts of data to study biomedical problems. This work is based on “omics” data generated from high-throughput experimental methodologies, such as gene expression and SNP microarrays, genomic sequencing, physical and genetic interaction mapping, and tandem mass spectrometry. While these experimental methods provide the keys to a greater understanding of molecular processes and specific gene functions, these data remain largely underutilized by both biologists and computational biologists. My work aims to bridge statistics/computer science and medical genetics by developing and applying rigorous statistical and computational methods combined with biologically meaningful algorithms that incorporate expert biological knowledge into a comprehensive analysis of the high-throughput data. I have provided bioinformatics support and collaboration with many national and international scientists. The multi-disciplinary collaborative projects I have been involved in exploit various „omics‟ data sets that probe gene expression microarray, copy number variation, genetic linkage and association, methylation status, miRNA expression, proteomic expression and target and whole genome sequencing. The work has resulted in many biologically significant results. These include discoveries of: a duplication causing metaphyseal dysplasia with maxillary hypoplasia, childhood brain tumor subtypes, a rare variant associated with inflammatory bowel disease, and an osteosarcoma tumor suppressor, etc.