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

  • October 2017: A new set of enhancer-gene link predictions extending the expression correlation approach in Ernst et al, 2011 to the Roadmap Epigenomics data is published as a part of this paper.
  • September 2017: Jason receives a NIH-NIDA Avenir award.
  • August 2017: We receive a grant from Kure It.
  • August 2017: Heather wins a Bruins in Genomics poster award.
    More News

    Upcoming Presentations

  • October 23, 2017: UCLA BIOINFO M202 Bioinformatics Interdisciplinary Research Seminar
  • November 10, 2017: CMU/Pitt Computational Biology Seminar Series
  • December 1, 2017: Swedish Epigenetics and Chromatin Meeting, EpiChrom 2017 - Keynote Speaker