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

  • April 2018: Jason is a co-organizer of the Regulatory & Systems Genomics (RegSys) Community of Special Interest Meeting at ISMB to be held July 9-10th in Chicago.
  • March 2018: Pete defends his PhD thesis.
  • 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

  • July 8, 2018: ISMB VarI COSI - Adriana presents
  • July 9-10, 2018: ISMB RegSys COSI - Artur presents
  • July 20, 2018: UCLA Computational Genomics Summer Institute