David E. Conroy

David E. Conroy, Ph.D., is Director of the Michigan Roybal Center for Promoting Adherence to Behavior Change and Enhancing Cognitive Function. He holds the Bickner Endowed Chair in Kinesiology and is one of three Michigan Impact Professors at the University of Michigan. His research focuses on designing personalized, non-pharmacological interventions that help individuals initiate and sustain physical activity and other health behaviors linked to modifiable risk factors for Alzheimer’s disease and related dementias. Dr. Conroy’s work addresses a central challenge in midlife ADRD prevention research: how to reliably measure meaningful behavioral change before clinical symptoms emerge, and how to sustain those behavioral changes long after intensive intervention support ends. To meet this challenge, his team develops behavioral intervention frameworks and digital measurement strategies that integrate mobile technologies, wearable sensors, computational modeling, and behavioral science. This work aims to generate scalable, low-burden tools for measuring adherence, testing candidate mechanisms of change and adherence, and supporting long-term behavioral maintenance.

Jessica Langbaum

Jessica B. Langbaum, Ph.D., is the Senior Director of Alzheimer’s Prevention & Research at the Banner Alzheimer’s Institute, Director of the Arizona Alzheimer’s Disease Research Center, and Co-Director of the Alzheimer’s Prevention Initiative (API). Her work focuses on preclinical Alzheimer’s disease, representative participant recruitment and retention, genetic and biomarker result communication, and novel cognitive outcome measure development for prevention trials.

David Almeida

David M. Almeida, Ph.D., a Professor at Penn State, is a life-span developmental psychologist specializing in stress and coping in middle adulthood. He is recognized for developing tools to measure daily stress and leading major longitudinal studies on how daily stressors affect health, especially in midlife and older adults. Dr. Almeida has extensive experience with middle and late adulthood studies, intensive repeated measurements, and the development of measurement tools.

Ganesh Babulal

Ganesh M. Babulal, Ph.D., OTD, is a professor in the departments of Neurology and Quantitative Health Sciences at the Mayo Clinic, and director of The DRIVES Project and ARCHES laboratories. Dr. Babulal’s research program (1) characterizes functional changes in dementia using conventional biomarkers (structural and functional imaging, cerebrospinal fluid, plasma) and digital sensor-based markers, (2) develops precision AI models of decline using complex instrumental activities of daily living, (3) quantifies structural and social determinants of health across the life course to predicts disease risk in late life, and (4) assesses the impact of multidimensional deprivation in low-and-middle-income countries (LMICs)on brain health and neurological diseases. Dr. Babulal’s work has been disseminated across eight book chapters and over 150 peer-reviewed research articles. His work centers population neuroscience and a syndemic framework to bridge gaps in health disparities in the United States and LMICs.

Andrea Cataldo

Andrea M. Cataldo, Ph.D., is an Assistant Neuroscientist at McLean Hospital and an instructor in Psychiatry at Harvard Medical School. Her research integrates neurobehavioral experiments and computational modeling to uncover the psychological mechanisms underlying memory and decision-making. She has expertise in response time modeling, Bayesian statistics, and multi-analyst methods. Her most recent work in computational psychiatry has used drift diffusion modeling to identify computational phenotypes underlying mood disorders, including a persistent negative retrieval bias in depression.

Sy-Miin Chow

Sy-Miin Chow, Ph.D., is a Professor of Human Development & Family Studies at Penn State. She is Director of the Center for Innovation in Intensive Longitudinal Studies, leads the Research Coordinating Center for NIH’s Intensive Longitudinal Health Behavior Network, and directs the QuantDev unit within the Social Science Research Institute. She is also an affiliate faculty member at the Institute for Computational and Data Sciences at Penn State. Her research interests include dynamic modeling of longitudinal data, approaches for handling technical and methodological issues that arise in studies of change and human dynamics, and modeling of emotional, child development and family processes. Dr. Chow co-leads the Data Core team for OMNI ADRD, providing expertise on computational methods, digital health data harmonization, developing modern psychometrics, and data sharing.

Alyssa Gamaldo-Roddy

Alyssa Gamaldo-Roddy Alyssa A. Gamaldo, Ph.D., is a Professor of Psychology at Clemson University, specializing in cognitive aging, health disparities, and community engagement among diverse older adult populations. Her research centers on cognitive health, sleep, and the biological and social determinants of cognitive decline, with a focus on racial disparities and interventions to improve cognitive outcomes.

Duke Han

Duke Han, Ph.D., who co-leads the OMNI ADRD Applied Validity Core is a Professor of Psychology, Family Medicine, Neurology, and Gerontology at the University of Southern California . He also serves as the co-leader of the Research and Education Core for the USC Alzheimer’s Disease Research Center, Co-Director of the Scientific Research Network in Decision Neuroscience of Aging, and the Editor-In-Chief of The Journals of Gerontology Series B: Psychological Sciences. Dr. Han is a board-certified clinical neuropsychologist and a recognized leader in neuropsychology and aging research. His research focuses on neuropsychological assessment, neuroimaging, decision-making in aging, financial vulnerability, and Alzheimer’s disease.

Jason Hassenstab

Jason Hassenstab, Ph.D., is the Norman J. Stupp Professor of Neurology and Professor of Psychological & Brain Sciences at Washington University in St. Louis, where he directs the Cognitive Technology Research Laboratory (CTRLab) specializing in developing digital cognitive assessments and digital biomarkers for use in studies of ADRD. He is the Principal Investigator of the ARC-Down Syndrome study, and international multi-site study of Down syndrome-associated Alzheimer’s disease. He also directs the Cognition Cores for the Dominantly Inherited Alzheimer Network studies and the Knight Alzheimer’s Disease Research Center at WashU.

Todd Horowitz

Todd S. Horowitz, Ph.D., serves as the NIH Program Officer for OMNI ADRD. Dr. Horowitz is Chief of the Basic Biobehavioral & Psychological Sciences Branch of the National Institute on Aging (NIA), which supports research on behavior change, cognitive and emotional functioning, behavioral genetics, family and interpersonal relationships, and other social and behavioral factors as they related to aging, ADRD, and well-being in mid-life and older age.

Oshadi Jayakody

Oshadi Jayakody, Ph.D., is a junior faculty member in the Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, NY. Dr. Jayakody studies how and why cognitive and functional decline develops with aging, with a particular focus on Alzheimer’s disease and related dementias (AD/ADRD). Her work aims to translate this knowledge into scalable behavioral interventions that promote independence for individuals with AD/ADRD, by enabling earlier identification and prevention of ADRD risk factors beginning in the midlife stages.

Jennie Larkin

Jennie Larkin, Ph.D., is the Acting Director of the Division of Neuroscience at the National Institute on Aging (NIA), bringing expertise in neuroscience, open science, and data science to NIA. Previously, Dr. Larkin was the Director of the Office of Research Evaluation and Operations (OREO) at the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). There she also led the NIDDK Data Management and Data Science Working Group and served on multiple trans-NIH data science and data policy working groups. Preceding her position as OREO Director, Dr. Larkin was Senior Advisor to the NIH Associate Director for Data Science Phil Bourne, Ph.D., where she was responsible for coordinating extramural activities and strategic planning for the Big Data to Knowledge (BD2K) program. Prior to managing the BD2K program, she was a Program Director at the National Heart, Lung, and Blood Institute (NHLBI). There she was responsible for a diverse portfolio comprising data science, computational biology and mathematical modeling, and genomics, while serving as a coordinator for the Common Fund’s Library of Integrated Network-Based Cellular Signatures (LINCS) program. Throughout her time at NIH, she has been a leader in data sharing and has served as an expert reviewer for numerous NIH data science programs.

Kristina McLinden

Kristina McLinden, Ph.D., serves as an NIH Project Scientist for OMNI ADRD. As the Program Director for Alzheimer’s Disease Clinical Trials at NIA, she oversees the non-pharmacological Alzheimer’s disease and related dementias clinical trials portfolio, which focuses on behavioral, cognitive, neuromodulation, diet, and exercise interventions and devices to prevent, delay, and treat Alzheimer’s Disease and related dementias.

Joey Mukherjee

Shubhabrata (Joey) Mukherjee, Ph.D., is a Research Associate Professor at the University of Washington whose work bridges psychometrics, genetics, and neuropathology in Alzheimer’s disease and related dementias. He leads NIH-funded efforts to develop robust, harmonized measures of cognition across large cohorts and to link these harmonized measures with genomic and neuropathological data. Dr. Mukherjee has led and supported genetic research on Alzheimer’s disease to bridge large-scale cognitive harmonization with molecular (e.g., DNA variants, single-nuclei RNA-seq) and neuropathological data.

Elizabeth Muñoz

Elizabeth Muñoz, Ph.D., is an Associate Professor at the University of Texas at Austin specializing in developmental science, with a focus on cognitive aging and health disparities among Hispanic/Latinx and other racially/ethnically minoritized populations. Her research examines how psychosocial and environmental stressors affect cognitive health, using real-world and community-based approaches. She is involved in several NIH-funded projects and recognized for her contributions to inclusive cognitive aging research.

Lis Nielsen

Lis Nielsen, Ph.D., is Director of the Division of Behavioral and Social Research (BSR) at the National Institute on Aging (NIA), where she leads a portfolio of transdisciplinary social, behavioral, psychological, and economic research on aging and dementia. Since joining NIA in 2005, she has advanced research initiatives in behavioral and biobehavioral science, helping establish new areas of inquiry in subjective well-being and the social, affective, and economic neurosciences of aging. She has led multiple transdisciplinary research networks and played key roles in NIH-wide programs, including the Science of Behavior Change (SOBC) Common Fund program and the Basic Behavioral and Social Sciences Opportunity Network (OppNet). A strong advocate for a life-course perspective on aging, Nielsen has championed research on how early-life and midlife experiences shape aging, cognitive health, and well-being in later life. She earned her Ph.D. in Cognitive Psychology and Cognitive Science from the University of Arizona and conducted research on aging, affect, and decision-making at Stanford University before joining NIA. She is a Fellow of the Academy of Behavioral Medicine Research, the Association for Psychological Science, and the Mind & Life Institute.

Kate Papp

Kathryn (Kate) Papp, Ph.D., is an Associate Professor of Neurology at Harvard Medical School and a clinical neuropsychologist at Brigham and Women’s Hospital and Massachusetts General Hospital. She is recognized for her expertise in early detection and monitoring of preclinical Alzheimer’s disease, particularly through the development and use of digital cognitive assessment tools. Dr. Papp has played key roles in national research initiatives and clinical trials, significantly influencing cognitive outcome measures and trial design in Alzheimer’s disease research. Her research work focuses on clinical neuropsychology, digital health technologies, and translational research on aging and dementia.

Laura Rabin

Laura A. Rabin, Ph.D., is a Professor of Psychology at Brooklyn College and the Graduate Center of CUNY, specializing in neuropsychology, cognitive aging, and Alzheimer’s disease research. Her work centers on developing and validating neuropsychological assessment tools for early detection of cognitive decline and dementia. Dr. Rabin’s specific expertise includes early detection of Alzheimer’s disease and related dementias, assessment of preclinical dementia conditions, measurement precision, clinical group classification, interpretation of cognitive changes in older adults, and assessments of judgment and decision-making.

Nelson Roque

Nelson Roque, Ph.D., is an Assistant Professor at Penn State University specializing in cognitive assessment, data management, and modeling of intensive longitudinal data in aging populations. He is a co-investigator on the NIH Precision Brain Health Network U24 project, focusing on inclusive neuropsychological measurement for Alzheimer’s disease prevention, with a strong emphasis on healthcare disparities and technology use among minority and aging populations. Dr. Roque has experience in software design for data preparation and analysis, developing R packages for time series feature extraction, and leading technology and data management in large-scale research projects. His research also addresses disparities in healthcare education, measurement of cognitive constructs, and the relationship between cognition, technology, and health outcomes such as air pollution and cardiovascular health.

Lesley Ross

Lesley A. Ross, Ph.D., is a Professor and Endowed Chair in Aging and Cognition at Clemson University with over 20 years of research experience in brain health, cognitive aging, and everyday functioning in older adults. She has led major NIH-funded randomized controlled trials on cognitive training and dementia prevention, developed innovative assessment and data collection methods, and holds leadership roles in gerontology and transportation safety. Her expertise includes leading large-scale randomized controlled trials, developing novel data collection and analytical methods (such as smartphone-based assessments), and contributing to research on mobility, driving safety, and functional outcomes in older adults. She also has experience in neuropsychological assessment, ecological momentary assessment, and advanced statistical methodology.

Andrew Saykin

Andrew J. Saykin, Psy.D., ABCN, is the Raymond C. Beeler Professor of Radiology and Imaging Sciences and Professor of Medical and Molecular Genetics at the Indiana University School of Medicine. Dr. Saykin serves as director of the Indiana Alzheimer’s Disease Research Center and IU Center for Neuroimaging. He leads the ADNI Genetics Core and is an MPI of several NIA-sponsored consortia (CLEAR-AD, KBASE, AI4AD) with experience in collaborative, transdisciplinary, and multi-institutional team science. His current research program focuses on systems biology approaches to understanding pathways driving AD/ADRD, leveraging multimodal neuroimaging, multi-omics biomarkers, and AI-based strategies. Dr. Saykin is the founding editor-in-chief of Brain Imaging and Behavior, and a highly cited author with over 700 publications.

Aaron Seitz

Aaron Seitz, Ph.D., is a Professor in the Northeastern University College of Science Psychology Department. He also holds appointments in the Physical Therapy, Rehabilitation and Movement Disorders Department in the Bouvé College of Health Sciences, and the Game Design program in the Department of Art and Design in the College of Arts, Media and Design. As Director of the Brain Game Center for Mental Fitness and Well-being, Dr. Seitz uses ambulatory tools (e.g., that run on mobile phones and tablets) to reach larger, more diverse, and traditionally underserved/understudied populations, to understand cognitive diversity (broadly defined) and to create tools to measure function and to personalize training based upon individualized needs.

Martin Sliwinski

Martin Sliwinski, Ph.D., is the contact Principal Investigator for OMNI ADRD, and co-leads its Measures Core team. He is the Gregory H. Wolf Professor in Healthy Aging and Human Development at Penn State and directs the Penn State Center for Healthy Aging and the Penn State Geroscience and Dementia Prevention Consortium. His research interests include dynamic phenotyping of daily experiences and cognitive function. His projects frequently employ brief ambulatory cognitive assessments of cognitive function, ongoing behavior, psychological states, and environmental exposures to understand these processes and their interrelationships in real-time and in people’s natural environment.

Luke Stoeckel

Luke E. Stoeckel, Ph.D., serves as Project Scientist for OMNI ADRD at the National Institute on Aging. As a clinical neuropsychologist and neuroscientist, Dr. Stoeckel leads initiatives in cognitive measurement development and the refinement of assessment frameworks for Alzheimer’s disease and related dementias research. His work focuses on advancing the precision and evidence base of cognitive outcome measures in the research and clinical context, including developing taxonomies and ontologies that enable more robust cross-study comparisons. Dr. Stoeckel’s research portfolio encompasses the cognitive and decision-making changes associated with aging, with particular emphasis on behavioral prediction, neuropsychological phenotyping, and the integration of neuroscience approaches to understand cognitive decline. Through his role in NIA’s Division of Behavioral and Social Research, he works to strengthen the measurement infrastructure that supports the ADRD research community.

Laura Thi Germine

Laura Thi Germine, Ph.D. is an Associate Professor and Chief of the Division of Brain and Cognitive Health Technology in the Department of Neurology at the Albert Einstein College of Medicine. She co-leads the Technology and Dissemination Core for OMNI ADRD. Her research centers on developing and validating technologies to understand and improve cognitive health in neuropsychiatric disorders and aging, with an emphasis on cognitive changes occurring prior to symptom onset. She is the co-creator and the Director of the online cognitive testing site, TestMyBrain.org.

Louisa Thompson

Louisa I. Thompson, Ph.D., is an Assistant Professor in the Department of Psychiatry at Brown University Medical School and Associate Director of Research in the Memory and Aging Program at Butler Hospital. Her research centers on developing and validating digital tools for early detection and screening of Alzheimer’s disease and related dementias, with an emphasis on underrepresented populations and integrating digital cognitive assessments into community health settings. She leads and collaborates on multiple NIH- and foundation-funded projects, and is recognized for her leadership in minimally invasive, scalable dementia detection approaches. She also has significant experience in clinical neuropsychology and biomarker research, including retinal imaging and plasma biomarkers.