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 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 2014: We are part of a NIH U01 grant Genomic Strategies to Identify High-Impact Psychiatric Risk Variants (PIs: Nelson Freimer and Dan Geschwind) that receives funding.
  • September 2014: We are part of a NIH Roadmap Epigenomics R01 grant Epigenomic Control of RNA Splicing (PIs: Yi Xing and Alex Hoffmann) that receives funding.
  • August 2014: We receive with Kathrin Plath and Sri Kosuri a Broad Stem Cell Research Center Innovation Award for Understanding the combinatorial logic of gene regulation in pluripotent cells.

    More News

    Upcoming Presentations

  • October 21st, 2014: American Society for Human Genetics (ASHG) Meeting Platform Presentation
  • November 13-14th, 2014: RECOMB/ISCB Conference on Regulatory Genomics (Jason and Pete)
  • November 24th, 2014: UCLA BIOINFO M202 Bioinformatics Interdisciplinary Research Seminar
  • December 4-6th, 2014: International Conference on Intelligent Biology and Medicine (ICIBM) (Invited talk during the Epigenetics Session)