I am an Assistant Professor at the Department of Clinical and Health Psychology with background in biomedial engineering. I am also an Assistant Director at the Center for Cognitive Aging and Memory at the University of Florida and a Co-Chair for the ENIGMA Neuromodulation and UF PHHP AI Workgroup. My ultimate research goal is to advance precision approaches for healthy cognitive aging by integrating diverse factors (e.g., lifestyle, diet, environment, demographics, and social determinants of health) alongside brain structure and function. Age-related cognitive decline is complex and cannot be understood through medical history or neuroimaging alone. My work takes a multi-modal perspective that captures this complexity and applies computational modeling, artificial intelligence, and machine learning to identify person-specific pathways for cognitive health. Recent studies extend beyond neurostimulation modeling to explore how age-related brain changes interact with behavioral, demographic, and social inputs to influence intervention outcomes. By linking biological, behavioral, and contextual factors, my research lays the groundwork for individualized, holistic strategies that support healthy cognition, mitigate decline, and reduce risk for Alzheimer’s disease and related dementias.
I am an Assistant Professor at the Department of Clinical and Health Psychology with background in biomedial engineering. I am also an Assistant Director at the Center for Cognitive Aging and Memory at the University of Florida and a Co-Chair for the ENIGMA Neuromodulation and UF PHHP AI Workgroup. My ultimate research goal is to advance precision approaches for healthy cognitive aging by integrating diverse factors (e.g., lifestyle, diet, environment, demographics, and social determinants of health) alongside brain structure and function. Age-related cognitive decline is complex and cannot be understood through medical history or neuroimaging alone. My work takes a multi-modal perspective that captures this complexity and applies computational modeling, artificial intelligence, and machine learning to identify person-specific pathways for cognitive health. Recent studies extend beyond neurostimulation modeling to explore how age-related brain changes interact with behavioral, demographic, and social inputs to influence intervention outcomes. By linking biological, behavioral, and contextual factors, my research lays the groundwork for individualized, holistic strategies that support healthy cognition, mitigate decline, and reduce risk for Alzheimer’s disease and related dementias.