Director of the SF Coordinating Center is the corresponding PI of the Consortium and PI of the Administrative Core

PI for scientific activities of the Consortium, overseeing the progress of assays, analyses, reports and publications, and PI of Disease Context Project

Project Director

Co-Investigator of the Administrative Core, providing expertise in human subjects data sharing and protection.

    • SF Coordinating Center, San Francisco, CA

    • Email: DEvans <at> sfcc-cpmc <dot> net

Co-Investigator of the Administrative Core, contributing to phenotype selection and harmonization.

    • University of Pittsburgh, School of Public Health

    • Email: newmana <at> edc <dot>pitt <dot> edu

National Institute on Aging (NIA)

NIA/NIH Program Officer

    • Email: nraghavachari <at> mail <dot> nih <dot> gov

PI of Chemoinformatics Core

PI of Systems Biology Core

    • Institute for Systems Biology, Seattle

    • Email: noa <dot> rappaport <at> systemsbiology <dot> org

PI of Centenarian Project

    • Boston University School of Medicine

    • Email: thperls <at> bu <dot> edu

PI of Centenarian Project

    • Tufts University School of Medicine

    • Email: psebastiani <at> tuftsmedicalcenter <dot> org

Co-Investigator of the Centenarian Project

    • Oregon State University

    • Email: Harold <dot> Bae <at> oregonstate <dot> edu

Co-Investigator of the Centenarian Project

    • Boston University

    • Email: smonti <at> bu <dot> edu

PI of Metabolomics Project

    • University of California, Davis

    • Email: ofiehn <at> ucdavis <dot> edu

PI of Mice/Cell Project

    • University of Michigan Medical School, Ann Arbor

    • Email: millerr <at> umich <dot> edu

PI of Proteomics Project

    • Oregon Health & Science University (OHSU)

    • Email: orwoll <at> ohsu <dot> edu

PI of Proteomics Project

    • Institute for Systems Biology, Seattle

    • Email: rmoritz <at> systemsbiology <dot> org

Chair, Department of Computational Biomedicine,

    • Cedars-Sinai Medical Center, Los Angeles, California

    • Email: jhmoore <at> csmc <dot> edu

Artificial intelligence, bioinformatics, biomedical informatics, complex adaptive systems, data science, epistasis, genetic architecture, genetic epidemiology, genomics, human genetics, machine learning, network science, precision medicine, simulation, systems biology, translational bioinformatics, visualization, visual analytics

Distinguished Professor, Department Chair

    • University of Alabama at Birmingham

    • Email: austad <at> uab <dot> edu

The long-term goal of my research is to develop treatments to slow the aging process, thus keeping people fit and healthy longer. My laboratory works with different animal species, especially those which are more successful at aging than humans. We work on exotic species, like clams that live more than 500 years, and hydra that don’t age at all, in order to discover such treatments. We also develop measures of laboratory animal health, so that we can assess whether a treatment that makes a mouse live longer also improves the quality of its life. Finally, it has been discovered in recent years that the sexes often respond very differently to treatments than extend life and health. Something that dramatically slows aging in one sex may have no effect on the other sex. We have recently begun exploring why this is so.

Professor of Biotechnology

    • University of Tartu

    • Andres <dot> metspalu <at> ut <dot> ee

Dr. Metspalu's major fields of research are genomics and genetic engineering, human genome research methods for large variation in gene banks; genetics and complex diseases, the relationship of genes, environmental factors, lifestyle, and state of health between the molecular and genetic analysis in developing the technology of DNA chip technology.

Founding director of the Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases

    • UT Health San Antonio

    • Email: Suseshad <at> bu <dot> edu

My research focuses on 4 interrelated areas: (a) exploring the correlates of subclinical brain aging including establishing norms for brain MRI and cognitive test performance and relating these measures to novel risk factors (such as visceral fat mass), multiple circulating biomarkers and clinical and subclinical indices of vascular and metabolic disease; (b) the epidemiology of stroke and vascular cognitive impairment including the lifetime risk of stroke, cognitive decline and dementia following stroke, the role of parental stroke and midlife risk factors in determining late-life stroke risk and temporal trends in stroke risk over the past 50 years; (c) the epidemiology of dementia and Alzheimer’s disease (AD) including describing the lifetime risk of AD and relating traditional and novel biomarkers (homocysteine, lipids, diabetes, estrogen, bone mineral density, thyroid function, inflammation) to the risk of dementia and AD.

Associate professor in the Department of Biochemistry and Neurology, Scientific Director of the Emory Integrated Proteomics Core

    • Emory University

    • Email: nseyfriend <at> emory <dot> edu

Research in the Seyfried lab is focused on the integration of proteomics, systems biology, and molecular biology to tackle fundamental questions related to the pathogenesis of Alzheimers Disease (AD) and other neurodegenerative disorders. In particular, his lab utilizes high resolution liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) to identify and quantify proteins and post-translational modifications (PTMs). Combining tools in both molecular and cellular biology, they also explore the relationship between the function of these proteins and their PTMs in the development of these devastating diseases.