As a student in our Genetics and Data Science (GDS) Graduate Training Program, you will devote a significant portion of your time to research. Explore our laboratories and learn about our investigators.
| Lab Name | Description |
|---|---|
| Asgari Lab | We use a combination of statistical, functional, and population genomics methods to understand how human genetic diversity translates to phenotypic diversity in the immune system and how this phenotypic diversity affects the clinical outcome of infectious diseases. To learn more about our research and current projects please visit out website. |
| Bakel Lab | Applying novel genomics technologies to fundamental problems in infectious disease to understand host pathogen interactions and the molecular basis of evolution and transmission of bacteria and viruses |
| Bjorkegren Lab | Using multi-modal big data analysis to create reliable network models of human biology and disease, with a focus on cardiovascular disease |
| Branch Lab | Investigating Hepatitis C virus, development of hepatocellular carcinoma (liver cancer), and the immunobiology of the human liver |
| Breen Lab | Bioinformatics, Computational Biology and Network Modeling Genomics/Epigenomics |
| Brown Lab | Identifying factors that control immunity and tolerance, and utilizing this information for developing therapeutic strategies that can direct antigen-specific immune responses for treating cancer and autoimmune disease. Also developing new translational technologies for improving emerging therapies and biomedical discovery. |
| Bunyavanich Lab |
The Bunyavanich Lab combines tools in epidemiology, genomics, and sequence analysis to study asthma and allergic diseases in human cohorts. Research Categories: Complex disease genetics, Bioinformatics, computational biology and network modeling, Immunology and infectious disease |
| Buxbaum Lab |
Genetics of Neurological Disease |
| Celebi Lab | Exploring the molecular genetics of melanoma |
| Charney Lab | Genetics of Neurological Disease |
| Chess Lab | Studying unusual mechanisms involved in regulating gene expression |
| Cho Lab | Investigating genetic and immunologic factors associated with Crohn’s Disease and ulcerative colitis (inflammatory bowel diseases) |
| Clemente Lab | Developing methods to understand microbiome contribution to human health |
| Desnick Research | Improving therapies for genetic diseases such as Fabry disease and porphyria |
| Do Lab | Bioinformatics, Computational Biology and Network Modeling Cardiovascular Disease |
| Faith Lab | Applying experimental and computational tools to understand interactions between diet, the microbiota and health, with an emphasis on Inflammatory Bowel Disease (IBD) |
| Fang Lab | Studying epigenomics and transcriptomics of human diseases, including novel forms of epigenetic marks and where are they on the genome, cell-to-cell heterogeneity, and their functions in health and diseases (stem cells, infection, brain, cancers), as well as epigenetic marks for medical impact |
| Gelb Lab | The Gelb research group is focused on disease gene discovery using genomic techniques and characterization of the biological roles of such genes in disease pathogenesis. The focus of the laboratory currently is on those traits that are associated with heart malformations. |
| Glicksberg Lab | Genetics of Neurological Disease |
| Goate Lab | Researching the molecular basis of Alzheimer's disease, frontotemporal dementia and alcohol addiction to identify novel targets for therapeutic development, using genetic and genomic approaches to identify susceptibility alleles, including genome wide association studies and whole genome/exome sequencing |
| Gumus Lab | Developing and applying computational methods and tools to define and implement genomics-based precision medicine approaches to identify drivers of pathogenesis and drug targets for cancer precision medicine. Our current laboratory focus is on cancers of the lung, colon, pancreas and the ovaries |
| Hao Lab | Studying human disease through statistical genetics. |
| Hopkins Lab | Genomics/Epigenomics |
| Sander Houten Research | Focusing on the pathophysiology of inborn errors of metabolism aiming to improve therapeutic strategies |
| Huang Lab | Bioinformatics, Computational Biology and Network Modeling Genomics/Epigenomics |
| Huckins Lab | Genetics of Neurological Disease |
| Ioannou Lab | Researching Niemann-Pick disease; NPC1L1; and lysosomal proteomics/lipidomics |
| Itan Lab | Bioinformatics, Computational Biology and Network Modeling Complex Disease Genetics |
| Jabs Lab (Ethylin Wang Labs) | Elucidating the molecular pathogenesis of human malformation disorders including craniosynostosis, oral clefting, limb disorders, and neural tube defects using craniofacial and stem cell biology, and animal model systems |
| Karr Lab | Researching to understand and reverse engineer the complexity of biology to enable (1) personalized and predictive medicine and (2) rational bioengineering. Focusing on answering key questions on cell growth and minimal gene complement necessary to support human life |
| Kasarskis Lab | Exploring new therapeutics and diagnostics, focusing on developing and applying technology to several areas including pathogen surveillance, pharmacogenomics, and the genetics of sleep |
| Kenny Lab | Analyzing human genetic variation to address fundamental questions in biology, medicine, and anthropology with the ultimate goals of producing better outcomes in medical genomics and ameliorating health disparities. |
| Klein Lab | Determining how inherited genetic factors contribute to the risk of cancer using a combination of computational and experimental approaches including genetic epidemiology, functional genomic profiling, and targeted manipulations of cancer cell line models |
| Loos Lab | Studying genes that increase risk of obesity and related traits to gain insight into the biology that controls body weight and to learn how lifestyle can reduce one's genetic susceptibility |
| Lozano Lab | Genetics of Neurological Disease |
| Ma'ayan Lab | Applying computational and mathematical methods to study the complexity of regulatory networks in mammalian cells |
| Martignetti – Ovarian Cancer Translational Research Group | Investigating: 1) markers for early detection and prevention of ovarian cancer by identifying molecules that tumors secrete possibly signaling early-stage tumor formation or treatment response, and 2) potential therapeutic targets and genetic markers associated with disease recurrence and pre-cancer risk |
| Miotto Lab | Bioinformatics, Computational Biology and Network Modeling |
| Paisan-Ruiz Lab | Elucidating and understanding the genetic etiology of movement disorders such as Parkinson's disease, Parkinsonism, and essential tremor to gain a better understanding of disease pathogenesis and novel targets for drug developing |
| Pandey Lab | Developing and applying computational methods to biomedical, genomic and environment data for building predictive and network models of complex biological processes and diseases. |
| Peter Lab | Focusing on the genetics, genomics and the microbiome studies of Inflammatory Bowel Disease, obesity, diabetes, and cardiovascular disease, including pharmacogenomics, to gain a better understanding of the interplay between the genetic and environmental factors involved in the pathogenesis of complex diseases |
| Pinto Lab | Identifying genes and biological pathways involved in various neurodevelopmental disorders |
| Raj Lab | Genetics of Neurological Disease |
| Roussos – Functional Neurogenomics Lab | Exploring the genetics of regulation of gene expression in neuropsychiatric diseases. |
| Sachidanandam Lab | Focusing on two research areas: TCR repertoire monitoring and mitochondrial genetics, developing novel, deep sequencing techniques to study them. We also collaborate with some microbiology labs to understand disease progression from a genomic perspective |
| Schuchman Lab - Genetic Disease Foundation | Studying the biology of lysosomal enzymes, genes and diseases to develop novel therapies for lysosomal storage disorders |
| Scott Lab | Studying the genetic determinants of drug response variability and the development of next-generation sequencing methods for pharmacogenomic research and clinical testing |
| Sharp Lab | Utilizing new and novel technologies to study epigenetic modifications, DNA methylation and gene expression to uncover patterns associated with disease |
| Stewart Lab | Translating human pancreatic beta cell biology into beta into beta cell regeneration for diabetes therapy |
| Tsankov Lab | Cancer Genomics/Epigenomics |
| Tu Lab | Using network modeling to understand processes involved in aging and examining their connections with various diseases, and to prioritize the key pathways driving aging and diseases. |
| Walsh Lab | Genomics/Epigenomics |
| Watanabe Lab | Studying transcriptional regulation of lung cancer through single cell and epigenomic technologies |
| Xu Lab | Investigating how the network of transcription factors/chromatin regulators and gene interactions drive progenitor cell development, maintenance, and regeneration in the inner ear and kidney. We seek new insight into the genetic networks that underlie congenital neurosensory deficits and renal diseases. |
| Zhang Multiscale Network Modeling Lab | Focusing on construction, characterization and validation of multiscale biological networks, from large-scale genomic, genetic, epigenetic, proteomic and clinical data in complex human diseases |
| Zhao Lab | Exploring genetic, epigenetic, proteomic and clinical data in complex human diseases |
| Zhu Lab | Focusing on dissecting molecular mechanisms underlying complex phenotypes through analyzing large-scale high-throughput data |