Research Interest: Computational Biology
| Name | PhD Program | Research Interest | Publications |
|---|---|---|
| Yeh, Jen Jen WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We are a translational cancer research lab. The overall goal of our research is to find therapeutic targets and biomarkers for patients with pancreatic cancer and to translate our results to the clinic. In order to accomplish this, we analyze patient tumors using a combination of genomics and proteomics to study the patient tumor and tumor microenvironment, identify and validate targets using forward and reverse genetic approaches in both patient-derived cell lines and mouse models. At the same time, we evaluate novel therapeutics for promising targets in mouse models in order to better predict clinical response in humans. |
| Zhang, Qi WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Our laboratory is focusing on developing and applying solution-state NMR methods, together with computational and biochemical approaches, to understand the molecular basis of nucleic acid functions that range from enzymatic catalysis to gene regulation. In particular, we aim to visualize, with atomic resolution, the entire dynamic processes of ribozyme catalysis, riboswitch-based gene regulation, and co-transciptional folding of mRNA. The principles deduced from these studies will provide atomic basis for rational manipulation of RNA catalysis and folding, and for de novo design of small molecules that target specific RNA signals. Research program in the laboratory provides diverse training opportunities in areas of spectroscopy, biophysics, structural biology, computational modeling, and biochemistry. |
| Calabrese, J. Mauro WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Our lab is trying to understand the mechanisms by which long noncoding RNAs orchestrate the epigenetic control of gene expression. Relevant examples of this type of gene regulation occur in the case of X-chromosome inactivation and autosomal imprinting. We specialize in genomics, but rely a combination of techniques — including genetics, proteomics, and molecular, cell and computational biology — to study these processes in both mouse and human stem and somatic cell systems. |
| Purvis, Jeremy WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We study the behavior of individual cells with a specific focus on “irreversible” cell fate decisions such as apoptosis, senescence, and differentiation. Why do genetically identical cells choose different fates? How much are these decisions controlled by the cell itself and how much is influenced by its environment? We address these questions using a variety of experimental and computational approaches including time-lapse microscopy, single-molecule imaging, computational modeling, and machine learning. Our ultimate goal is to not only understand how cells make decisions under physiological conditions—but to discover how to manipulate these decisions to treat disease. |
| Zou, Fei WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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 PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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 PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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. |