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First Name Last Name E-mailsort descending Telephone Institution Area of Expertise Address 1 Address 2 City State ZIP
Kaycee Sink kmsink@wfubmc.edu 336-713-8558 Wake Forest University Health Sciences J. Paul Sticht Center on Aging Medical Center Blvd. Winston-Salem North Carolina 27157
Kenneth Mukamal kmukamal@bidmc.harvard.edu 617-754-1401 Beth Israel Deaconess Medical Center diabetes Division of General Medicine Research Program 1309 Beacon Street Brookline Massachusetts 02446
Katherine Nishimura knishimu@fredhutch.org Fred Hutchinson Cancer Research Center epidemiology 1100 Fairview Avenue N Seattle Washington 98109
Ryan Koene koene030@umn.edu 414.303.4240 University of Minnesota cardiac imaging 420 Delaware St SE MMC 508 Minneapolis Minnesota 55455
Robert Koeth koethr@ccf.org 216873020 Cleveland Clinic main campus atherosclerosis, Atherosclerotic Cardiovascular Disease, atrial fibrillation, atrial fibrillation; lifetime risk; prediction, atrial flutter, Cardiac arrhythmia, cardiovascular disease, cardiovascular disease (CVD), Gut microbiome 9500 euclid avenue Cleveland Ohio 44094
Karen S. Oles koles@wfubmc.edu 336-713-7011 Wake Forest University School of Medicine Department of Neurology N/A
Michael Koller kollerm@uhbs.ch Basel Institute for Clinical Epidemiology & Biostatistics University Hospital Basel Basel N/A
Constatine G. Lyketsos kostas@jhmi.edu 410-955-6158 Johns Hopkins University Department of Psychiatry and Behavioral Sciences Division of Geriatric Psychiatry and Neuropsychiatry Baltimore Maryland 21205
Piera Kost kostp@edc.pitt.edu University of Pittsburgh Health Studies Office 130 N. Bellefield Ave., Rm 400 Pittsburgh Pennsylvania 15213
Kristen Pietila kpietila@uw.edu University of Washington N/A
Kurt Daniel krdaniel@wfubmc.edu 336-716-2589 Wake Forest University School of Medicine Department of Cardiology Medical Center Blvd. Winston-Salem North Carolina 27157
Kristin Corey kristin.corey@duke.edu Duke University proteomics N/A
Kristine Moseholm kristine.moseholm@sund.ku.dk University of Copenhagen Alzheimer's disease, biomarkers, dementia, epidemiology, neuroepidemiology N/A
Richard Kronmal Kronmal@u.washington.edu 206-897-1915 University of Washington Statistical methods Collaborative Health Studies Coordinating Center, Campus Box 354922 Building 29, Suite 210 Seattle Washington 98115
Kristen Patton krpatton@u.washington.edu University of Washington cardiology N/A
Kischa Singleton ksingle3@jhmi.edu Johns Hopkins University 2024 East Monument Baltimore Maryland 21205
Subashan Perera ksp9@pitt.edu 4126922365 University of Pittsburgh biostatistics Division of Geriatric medicine 3471 Fifth Ave Pittsburgh Pennsylvania 15213
Kent Taylor ktaylor@lundquist.org 310-561-0612 Los Angeles Biomedical Research Institute coronary artery calcium, coronary artery disease, coronary atherosclerosis, coronary calcification, Cox Proportional Hazards, Cox regression, CVD events, data reduction, Databases, datasets, dbGaP, deep learning, diabetes, DNA methylation, DNA sequence, epigenomics, eQTL, ethnicity; diversity; prevention; cardiovascular;, exome chip, fasting glucose, fasting insulin, Fine-Gray method, Framingham risk scale, gene expression, Genetic analysis of cardiovascular-related traits, genetic factors (primary to CHS), genome wide association study, genotypes, glucose homeostasis, GWAS, hazard ratio, heart failure, heart failure with preserved ejection fraction, heart failure with reduced ejection fraction, heart failure; genetics, HOMA-B, HOMA-IR, impaired fasting glucose, incident CVD, incident diabetes, incident heart failure, Insulin resistance, Latent Class Analysis, latent variable models, left ventricular function, left ventricular hypertrophy, left ventricular mass, linear regression, logistic regression, Longitudinal Analysis, longitudinal change, LV, LV function, LV mass, LVH, Machine learning, MESA, Metabochip, metabolism, metabolomics, mitochondria, MRI, mtDNA, multi-ethnic, next-generation sequencing, NIDDM, non-insulin depend diabetes mellitus (NIDDM), obesity, omics, oral glucose tolerance test, pathogenic variants, pathway-based analysis, Polygenic Risk Scores, pre-diabetes, Principal components, Principal components adjustment, processing speed, proteomics, pulse pressure, pulse wave velocity, racial differences, Recursive partitioning, regularization, Sex-specific analysis, sparse partial least squares, Statistical methods, subclinical atherosclerosis, Subclinical vascular disease, Supervised learning, survival analysis, time-to-event regression, TOPMed, trajectories, trajectory, trans-ethnic., Type 2 diabetes, ventricular hypertrophy, ventricular size, ventricular volume, ventricular wall thickness, whole exome sequencing, whole gene sequencing (WGS) Institute for Translational Genomics and Population Sciences 1124 W. Carson Street Torrance California 90502
Lewis H. Kuller KullerL@edc.pitt.edu 412.383.1895 University of Pittsburgh cognition, cognitive aging, Cognitive Change, cognitive decline, cognitive function, Cognitive Impairment, cognitive trajectories, dementia Bellefield Professional Building 130 N. Bellefield Ave., Rm 550 Pittsburgh Pennsylvania 15213
Kerri L Wiggins kwiggins@u.washington.edu University of Washington BMI, dietary assessment, phenotype N/A
Younghoon Kwon kwonx208@umn.edu University of Minnesota N/A
Kristine Yaffe kyaffe@itsa.ucsf.edu UCSF cognitive aging, dementia, Epidemiology of Aging N/A
Leonard Ilkhanoff l-ilkhanoff@northwestern.edu Northwestern University N/A
Layal Chaker l.chaker@erasmusmc.nl Erasmus Medical Center Thyroid function Dr. Molewaterplein 50-60 Rotterdam N/A 3015 GE
Daniel Lackland lackland@musc.edu University of South Carolina Charleston South Carolina

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