Resume

• 2007

  Postdoctoral training

  Bioinformatics

  The Ohio State University

• 2002

  Doctor of Philosophy (Ph.D.)

  Statistics

  University of Toronto

• 2001

  Master's degree

  Statistics

  McMaster University

• 1993

  Master's Degree

  Mathematics

  Hebei Normal University

• Developed a pipeline to process bisulfite-treated methylation sequencing data using compiled open-source software

  as well as to conduct statistical analysis for bisulfite rate and sequencing structure using custom programs written in Perl and R.

  Aaron Noviski

  Identify differential methylation in bisulfite sequencing data

  1. Developed a Hidden Markov Model based algorithm to identify differential methylations in bisulfite-treated methylation sequencing data with single-CpG resolution. Wrote an R pipeline implementing the algorithm as well as providing downstream analysis

  including methylation data visualization and genomic annotation. Applied the algorithm to a case control study of breast cancer. \n\n2. Developed an a new statistical methodology based on Markov Chain Monte Carlo algorithms and fisher-exact test to detect the differentially methylated regions among different cancer conditions using reduced representation bisulfite sequencing data.

  Sun

  Sun