Skip to main content
NameEmailPhD ProgramResearch InterestPublications
Zou, Fei
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Computational Biology, Genetics, Genomics

My research has been concentrated on the areas of statistical genetics and genomics to investigate the role of genetic variations on complex quantitative traits and diseases. I work primarily in the development, as well as the examination of statistical properties, of theoretical methodologies appropriate for the interpretation of genetic data.

Dowen, Jill
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Biochemistry & Biophysics, Bioinformatics & Computational Biology, Biology, Genetics & Molecular Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genomics, Molecular Biology

My lab studies how genes function within the three-dimensional context of the nucleus to control development and prevent disease. We combine genomic approaches (ChIP-Seq, ChIA-PET) and genome editing tools (CRISPR) to study the epigenetic mechanisms by which transcriptional regulatory elements control gene expression in embryonic stem cells.  Our current research efforts are divided into 3 areas: 1) Mapping the folding pattern of the genome 2) Dynamics of three-dimensional genome organization as cells differentiate and 3) Functional analysis of altered chromosome structure in cancer and other diseases.

Stein, Jason
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Neuroscience

RESEARCH INTEREST
Bioinformatics, Computational Biology, Developmental Biology, Genomics, Neurobiology

We are a lab exploring how variations in the genome change the structure and development of the brain, and in doing so, create risk for neuropsychiatric illness. We study genetic effects on multiple aspects of the human brain, from macroscale phenotypes like gross human brain structure measured with MRI to molecular phenotypes like gene expression and chromatin accessibility measured with genome-sequencing technologies. We also use neural progenitor cells as a modifiable and high fidelity model system to understand how disease-associated variants affect brain development.