Quan Li
Bioinformatics SA
Canada
Summary
👤
Senior🎓
Top SchoolQuan Li is a bioinformatics scientist with over a decade of experience applying statistical genetics, high-throughput sequencing and machine learning to cancer and complex human disease research. Based at the Princess Margaret Cancer Centre and affiliated with Memorial University, he combines deep computational biology expertise (scRNA-seq, PDX models, GWAS) with HPC-enabled data mining and AI/Deep Learning approaches. His background spans a PhD in computational biology and a postdoc in statistical genetics, giving him a strong foundation in both method development and translational cancer genomics. Known for bridging research and applied analysis, he brings hands-on experience running large-scale genomic studies and integrating predictive models into cancer research workflows.
10 years of coding experience
PHD, bioinformatics; computational biology, PHD, bioinformatics; computational biology at University of Science and Technology of Chinapost doc, statistical genetics;bioinformatics, post doc, statistical genetics;bioinformatics at McGill University
English, Chinese
Github Skills (7)
bioinformatics10
guideline10
genomics10
interpretation10
genetic10
r-package7
database3
Programming languages (2)
Github contributions (4)
WGLab/CancerVar
Feb 2017 - May 2022
Contributions:2 releases, 50 commits, 37 pushes in 5 years 3 months
WGLab/InterVar
Dec 2015 - Aug 2021
A bioinformatics software tool for clinical interpretation of genetic variants by the 2015 ACMG-AMP guideline
Contributions:6 releases, 137 commits, 1 PR in 5 years 9 months
clinicalgeneticgenomicsbioinformaticsacmg
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