Biography

  • I am a fourth year Ph.D student in Department of Statistics, UW-Madison. My supervisor is Professor Sündüz Keleş and I joined Keleş Research Group since 2014 fall. Now, we are working on repetitive regions of Hi-C.
  • I received my B.Econ in Statistics from Renmin University of China, Beijing, China, in 2014 summer.
  • I studied in the Department of Statistics & Actuarial Science, University of Hong Kong as an exchange student for 2012 fall semester and my first research project related to statistical genetics was supervised by Professor Stéphane Aris-Brosou in University of Ottawa, Canada, during 2013 summer. We analyzed the HIV transformaion networks.

  • Research

  • My research is about developing statistical models to solve genomic problems.
  • More specifically, I am working on highly repetitive regions of the genomes, building models to assign multi-mapping reads to its potential alignment positions. We proposed Perm-seq which aligns multi-mapping ChIP-seq reads. The R package permseq is available on github.
  • Currently, we are working on the three-dimensional organization in repetitive regions of the genomes.
  • Links

  • I highly recommend Emacs especially for researchers working frequently on UW-Madison stat/biostat server.
  • ENCODE, short for Encyclopedia of DNA Elements. Users can batch download extraordinary large amount of data sets in human genome with functional annotations.
  • HiCPlotter: Fancy! User friendly tool for Hi-C result visualization.
  • WashU Epigenome Browser: Even Fancier! Powerful genome browser which I also use for Hi-C result visualization.
  • A very clean and relatively comprehensive bash cheat sheet
  • If you are interested in STAN with application to Bayesian Inference, blogs @ baconzhou's blog are recommended.