Research Interest: Computational Biology
| Name | PhD Program | Research Interest | Publications |
|---|---|---|
| Schrider, Daniel WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Schrider Lab develops and applies computational tools to use population genetic datasets to make inferences about evolutionary history. Our research areas include but are not limited to: characterizing the effects natural selection on genetic variation within species, identifying genes responsible for recent adaptation, detecting genomic copy number variants and other weird types of mutations, and adapting machine learning tools for application to questions in population genetics and evolution. Study organisms include humans, the fruit fly Drosophila melanogaster and its relatives, and the malaria vector mosquito Anopheles gambiae. |
| Hoadley, Katherine A. WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
My research interest is in genomic characterization and integrative genomic approaches to better understand cancer. My group is part of the NCI Genome Data Analysis Center focused on RNA expression analysis. We have a number of ongoing projects including developing molecular classifications for potential clinical utility, developing methods for deconvolution to understand bulk tissue heterogeneity, analysis of driver negative cancers, and analysis of ancestry markers with cancer features. |
| Legant, Wesley R. WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Life is animate and three-dimensional. Our lab develops tools to better understand living specimens at single molecule, cellular, and tissue level length scales. Our current efforts comprise three synergistic research areas: 1) development and application of novel fluorescent imaging modalities including: super resolution, light sheet, and adaptive optical microscopy 2) investigation of how mechanical forces and cytoskeletal dynamics drive cancer cell migration through complex three-dimensional environments, and 3) generation of microfabricated platforms to precisely control the cellular microenvironment for tissue engineering and drug screening. |
| Jiang, Yuchao WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Dr Jiang’s primary research interests lie in statistical modeling, method development and data analysis in genetics and genomics. His current research is focused on developing statistical methods and computational algorithms to better utilize and analyze different types of next-generation sequencing data under various setting, with application to data from large-scale cohort studies of human health and disease. Special focus is on single-cell transcriptomics, single-cell epigenomics, cancer genomics, tumor phylogeny, data normalization, and copy number variation detection. |
| Ward-Caviness, Cavin WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We are actively engaged in multiple research arenas centered around understanding the associations between environmental exposures (primarily air pollution) and health outcomes. We use large clinical cohorts and electronic health records to understand associations between air pollution and health outcomes such as cardiovascular disease, metabolic disease, and aging. We use metabolomics and epigenetic data (primarily DNA methylation) to investigate molecular mechanisms, and highlight the integration of ‘omics data in a systems biology framework to better understand dysregulated pathways. Finally, we have projects centered around methods development and causal analyses to improve our understanding of the biology central to environmental health effects. |
| Liu, Yufeng WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Statistical machine learning and data mining, nonparametric statistics and functional estimation, bioinformatics, design and analysis of experiments
|
| Wu, Di WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Our group develops novel statistical bioinformatics tools and applies them in biomedical research to help understanding the precision medicine for cancer (e.g., breast cancer and lung cancer) subtypes, the disease associated integrative pathways across multiple genomic regulatory levels, and the genetics based drug repurposing mechanisms. Our recent focus includes pathway analysis, microbiome data analysis, data integration and electronica medical records (EMR). Our application fields include cancer, stem cell, autoimmune disease and oral biology. In the past, we have developed gene set testing methods with high citations, in the empirical Bayesian framework, to take care of small complex design and genewise correlation structure. These have been widely used in the microarray and RNAseq based gene expression analysis. Contamination detection for data analysis for Target DNA sequencing is work in progress. Recently, we also work on single cell sequencing data for pathway analysis with the local collaborators. |
| Hahn, Klaus WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Dynamic control of signaling networks in living cells; Rho family and MAPK networks in motility and network plasticity; new tools to study protein activity in living cells (i.e., biosensors, protein photomanipulation, microscopy). Member of the Molecular & Cellular Biophysics Training Program and the Medicinal Chemistry Program. |
| Gomez, Shawn WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Our primary research is in the area of computational systems biology, with particular interest in the study of biological signaling networks; trying to understand their structure, evolution and dynamics. In collaboration with wet lab experimentalists, we develop and apply computational models, including probabilistic graphical and multivariate methods along with more traditional engineering approaches such as system identification and control theory, to current challenges in molecular biology and medicine. Examples of recent research projects include: prediction of protein interaction networks, multivariate modeling of signal transduction networks, and development of methods for integrating large-scale genomic data sets. |
| Furey, Terry WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Furey Lab is interested in understanding gene regulation processes in specific cell types, especially with respect to complex phenotypes, and the effect of genetic and environmental variation on gene regulation. We have explored these computationally by concentrating on the analysis of genome-wide open chromatin data generated from high-throughput sequencing experiments; and the development of statistical methods and computational tools to investigate underlying genetic and biological mechanisms of complex phenotypes. Our current projects include determining the molecular effects of exposure to ozone on chromatin, gene regulation, and gene expression in alveolar (lung) macrophages of genetically diverse mouse strains. We are also exploring genetics, chromatin, transcriptional, and microbial changes in inflammatory bowel diseases to identify biomarkers of disease onset, severity, and progression. |