Quan Long

Quan Long is an Associate Professor at University of Calgary, hosted by the Dept. of Biochemistry and Molecular Biology. Additionally, with a joint appointment in the Dept. of Medical Genetics and an adjunct appointment in the Dept. of Math and Stat. He is a member of Alberta Children's Hospital Research Institute and Hotchkiss Brain Institute. Quan Long graduated from Peking University with a PhD in Applied Mathematics (majoring in software engineering). After graduation he worked in IBM Research as a Staff R&D Engineer for a year on reparation of programming errors leading to memory leak. Then he entered the wonderful biological world, starting by serving for path-finding genomics projects including human 1000 Genomes Project at the Wellcome Trust Sanger Institute, plant 1001 Genomes Project at the Gregor Mendel Institute, and Genotype-Tissue Expression Project at Icahn School of Medicine at Mount Sinai. During the course, he has developed various computational and statistical tools for genetics and genomics. Currently he is leading a research group to develop computational and statistical tools, focusing on genomic problems with high-dimensional features and low sample sizes. He is also interested in theoretical problems in machine learning. Quan Long's works have been published in leading journals, attracting 30,000+ citations. His group is funded by federal agencies including NSERC, CIHR, and NFRF.