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

  • November 2017: Ernst et al, Nature Biotech 2016 is selected to the annual regulatory and systems genomics top 10 papers reading list.
  • November 2017: Nature Protocols publishes a protocols paper on ChromHMM.

    More News

    Upcoming Presentations

  • March 23, 2018: UNC-Charlotte Bioinformatics Seminar
  • April 19, 2018: Biomedical Computation at Stanford (BCATS) Conference - Keynote Speaker