The Alain Labrique Lab conducts research on infectious diseases and public health. Our team studies the various factors that lead to maternal and neonatal mortality, particularly in underserved populations in South Asia, using the tools of infectious disease epidemiology, molecular biology and biostatistics. We work to better understand factors such as the interface of micronutrient deficiency and maternal/infant mortality and the prevention of nosocomial infections through mechanistic or nutritional interventions. We also have a longstanding interest in technologies that may enable early detection of disease.

Research conducted in the Dhananjay Vaidya Lab focuses on the prevention of heart disease, with special emphasis on cardiometabolic risk factors, genetics in high-risk families, cardiovascular epidemiology, statistics and vascular biology. We also provide consultation on study design as well as plan and oversee data analyses for projects supported by the Center for Child and Community Health Research.

The In-vivo Cellular and Molecular Imaging Center conducts multidisciplinary research on cellular and molecular imaging related to cancer. We provide resources, such as consultation on biostatistics and bioinformatics and optical imaging and probe development, to understand and effectively treat cancer. Our molecular oncology experts consult on preclinical studies, use of human tissues, interpretation of data and molecular characterization of cells and tumor tissue.

Research in the Sensorimotor Adaptation--Vestibular and Oculomotor group focuses on sensorimotor adaptation to space flight and fractal statistics in physiology. Our projects aim to understand sensory processing for motor control with an emphasis on adaptive capabilities and mathematical modeling.

The Center on Aging and Health pursues creative approaches to solve the important health and health care problems for an aging population. Research in our center involves population-based and clinical studies of the causes, correlates, and consequences of aging-related conditions, including frailty, disability, and social isolation. We house four distinct research working groups: the Frailty and Multisystem Dysregulation Working Group; the Family and Social Resources Working Group; the Cognitive and Sensory Functions Working Group; and the Biostatistics, Design and Analysis Working Group. We provide key infrastructure, such as the statistical data core, that supports clinical- and population-based research and education with expertise in research with older adults.

The Bryan Lau Lab is interested in epidemiological and statistical methods for cohort studies and the application of these methods primarily to HIV cohort studies. We’re particularly interested in developing new methods and using approaches from other disciplines as novel solutions to specific epidemiologic issues.

The Karen Bandeen-Roche Lab explores the application of underlying variable methods in epidemiologic and psychosocial research. Our team seeks to improve the ability to measure key outcomes like functional status and psychological disorders. Our other areas of statistical research include the study of classification and variance structure and multivariate survival analysis. We are deeply invested in the field of gerontology as well as ophthalmology and neurology.

The Nae-Yuh Wang Lab concentrates on a wide range of multicenter studies and randomized controlled trials. Recent studies have focused on pediatric cochlear implantation and longitudinal data analysis. One recent study found that partnering with primary care providers to deliver weight loss programs may promote greater participant satisfaction and weight loss. Another active study is assessing the effectiveness of promising interventions to reduce race disparities in live donor kidney transplantation.

The primary area of statistical expertise in the Qian-Li Xue Lab is the development and application of statistical methods for: (1) handling the truncation of information on underlying or unobservable outcomes (e.g., disability) as a result of screening, (2) missing data, including outcome (e.g., frailty) censoring by a competing risk (e.g., mortality) and (3) trajectory analysis of multivariate outcomes. Other areas of methodologic research interests include multivariate, latent variable models. In Women's Health and Aging Studies, we have closely collaborated with scientific investigators on the design and analysis of longitudinal data relating biomarkers of inflammation, hormonal dysregulation and micronutrient deficiencies to the development and progression of frailty and disability, as well as characterizing the natural history of change in cognitive and physical function over time.

Research in the Salzberg Lab focuses on the development of new computational methods for analysis of DNA from the latest sequencing technologies. Over the years, we have developed and applied software to many problems in gene finding, genome assembly, comparative genomics, evolutionary genomics and sequencing technology itself. Our current work emphasizes analysis of DNA and RNA sequenced with next-generation technology.