Yue Li

Assistant Professor, School of Computer Science, McGill University

Our research group focuses on developing machine learning approaches to decipher, in a human-understandable manner, the etiology of diverse phenotypes including complex human diseases. We seek to answer some of the key questions in computational biology: what are the genetic predispositions, cell-type specificities, genomic regulatory elements, gene and pathway functions, and their interactions with environments that together give rise to the phenotypic diversity and their interdependency .

Contact

Email : yueli with the suffix (@cs.mcgill.ca)

Office: Room TBD, Trottier Building, 3630 Rue University

Phone : TBD

Short biography

I was a postdoctoral associate at Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology. I obtained my Ph.D. in Computer Science and Computational Biology at University of Toronto in 2014. I received M.Sc. also from UofT in 2012 and B.Sc. Honours from the University of Saskatchewan with Major in Bioinformatics and Minors in Statistics in 2010. I was originally from the beautiful city of Tianjin, China.

Research interests

  • Machine learning approaches:
    • Latent variable models
    • Approximate Bayesian inference
    • Deep generative models
  • Bioinformatics analyses:
    • Next generation sequencing analysis
    • Microarray, tiling array analysis
  • Biological problems of interest:
    • Electronic Health Record (EHR)
    • Genome-wide association studies (GWAS)
    • Cancer genomics
    • Epigenomics in diseases
    • Post-transcriptional regulation by microRNAs
    • RNA epigenetics (N6-methyladenosine sites)
    • Function characterization of long noncoding RNAs
    • Transcriptional regulatory network