Asgari Lab
Combining 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.

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
Studying bioinformatics, computational biology and network modeling, and 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
Combining 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
Studying human psychiatric and neurological diseases using methods of epidemiology, genetics, genomics, molecular and cell biology, and animal models.

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 disease).

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
Studying bioinformatics, computational biology and network modeling, and 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
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.

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 and 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 ovaries.

Hao Lab
Studying human disease through statistical genetics.

Hopkins Lab
Studying genomics and epigenomics.

Houten Lab
Focusing on the pathophysiology of inborn errors of metabolism aiming to improve therapeutic strategies.

Huang Lab
Studying bioinformatics, computational biology and network modeling, and genomics and epigenomics.

Ioannou Lab
Researching Niemann-Pick disease; NPC1L1; and lysosomal proteomics and lipidomics.

Itan Lab
Studying bioinformatics, computational biology, and network modeling complex disease genetics.

Jabs Lab
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.

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
Studying the 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 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 potential therapeutic targets and genetic markers associated with disease recurrence and pre-cancer risk.

Miotto Lab
Studying bioinformatics, computational biology, and network modeling.

O'Reilly Lab
Developing statistical and population genetics methods and computational approaches for understanding how genetics, combined with the environment, leads to disease.

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
Focusing on mechanisms underlying the regulation of gene expression and how these mechanisms are disrupted in neurodegenerative diseases.

Roussos Lab
Exploring the genetics of regulation of gene expression in neuropsychiatric diseases.

Schuchman Lab
Studying the biology of lysosomal enzymes, genes, and diseases to develop novel therapies for lysosomal storage disorders.

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 cell regeneration for diabetes therapy.

Tsankov Lab
Using genomics to build data-driven, predictive models that improve diagnosis, find new drug-able pathways, and personalize treatment of patients with lung cancer and respiratory diseases.

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
Investigating how the gene responsible for cystic fibrosis is organized in the nucleus to give rise to highly specialized cell-type CFTR expression.

Watanabe Lab
Studying transcriptional regulation of lung cancer through single cell and epigenomic technologies.

Xu Lab
Investigating how the network of transcription factors and 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 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.