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
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.
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.
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)