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,
Broad Stem Cell Research Center, the
Jonsson Comprehensive Cancer Center, and the
Molecular Biology Institute
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.
March 2015: Jason will be a program co-chair for the Regulatory Genomics Special Interest Group (RegGenSIG) meeting at ISMB 2015.
February 2015: Jason's work on large-scale epigenomic imputation is now published online at the journal Nature Biotechnology
and the associated ChromImpute software is publicly released. See the press release here.
February 2015: The Roadmap Epigenomics Consortium publishes the Integrative analysis of 111 reference human epigenomes in the journal Nature.
Jason is one of the co-first authors on the paper. The Roadmap Epigenomics project receives extensive media coverage (e.g. NY Times, Washington Post).
April 2, 2015: Keystone Epigenomics Meeting - ENCODE Workshop
August 27&28, 2015: Statistical Modeling of Epigenomics and Gene Regulation Workshop at Harvard
October 10, 2015: American Society Human Genetics Meeting - ENCODE/Roadmap Epigenomics Workshop