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.
June 2015: Adriana Sperlea joins the lab.
June 2015: Shan Sabri joins the lab (co-advised by Kathrin Plath).
April 2015: Jason's work on epigenome imputation is featured on the cover of Nature Biotechnology.
March 2015: Jason will be a program co-chair for the Regulatory Genomics Special Interest Group (RegGenSIG) meeting at ISMB 2015.
June 29-July 3rd, 2015: Systems Biology Analysis Methods for Genomic Data Workshop at UCLA
July 12-14th, 2015: ISMB Highlights Track (Jason) and Oral Poster (Pete)
August 27&28, 2015: Statistical Modeling of Epigenomics and Gene Regulation Workshop at Harvard - Keynote Speaker
September 14-16, 2015: Statistical Methods for Omics Data Integration and Analysis - Keynote Speaker
October 10, 2015: American Society Human Genetics Meeting - ENCODE/Roadmap Epigenomics Workshop