We are a computational biology lab within the Department of Biological Chemistry in the David Geffen School of Medicine and also part of the Computer Science Department, the Interdepartmental Bioinformatics Program, the Institute for Quantitative and Computational Biosciences, the Broad Stem Cell Research Center, the Jonsson Comprehensive Cancer Center, and the Molecular Biology Institute at UCLA.

The focus of the lab is on developing and applying machine learning methods for the analysis of high-throughput experimental data to address problems in epigenomics and gene regulation. Our research is often conducted in close collaboration with experimental groups. Please see the publications page to learn more about the lab's research.

We are recruiting new members, if interested please see the positions page.

Recent News

  • July 2015: Pete wins a poster prize at ISMB.
  • June 2015: Adriana Sperlea joins the lab.
  • June 2015: Shan Sabri joins the lab (co-advised by Kathrin Plath).
  • April 2015: Jason's work on epigenome imputation is featured on the cover of Nature Biotechnology.

    More News

    Upcoming Presentations

  • August 27&28, 2015: Statistical Modeling of Epigenomics and Gene Regulation Workshop at Harvard - Keynote Speaker
  • September 14-16, 2015: Statistical Methods for Omics Data Integration and Analysis in Valencia, Spain - Keynote Speaker
  • October 10, 2015: American Society Human Genetics Meeting - ENCODE/Roadmap Epigenomics Workshop
  • October 19-20, 2015: ENCODE/Roadmap Epigenomics Conference in Shanghai, China - Invited Speaker