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.
BRAIN Center Seed Fund (MPIs: Queen/Khemtong)
UF BRAIN Center
The proposed study represents a new collaboration integrating diverse, but complementary, expertise and skills for solving important questions in brain research. The PIs intend to continue this collaborative project beyond the scope of this Seed Fund project and apply for NIH R01 funding. The requested fund will allow us to collect valuable preliminary data that are essential for the planned R01 submission.
NIA R01AG081477 (PI: Clark)
NIH NIA
The goal of this study is to establish initial efficacy, investigate mechanisms of intervention response, and to develop a multi-site research infrastructure. The study will enroll 104 older adult participants who have age-related cognitive decline. All participants will undergo the same 18-session high intensity aerobic walking program, which will emphasize the use of complex walking tasks that engage prefrontal cortex, such as obstacle negotiation and walking on compliant surfaces Role: Co-I
NIA R01AG071469/ RF1AG071469 (MPIs: Fang/Woods)
NIH NIA
The goal of this study is to leverage state of the art MRI-derived computational modeling of person-specific electric fields generated from tDCS with artificial intelligence/machine learning methods to determine the characteristics of electric current in the brain associated with treatment response to cognitive training and tDCS from the Phase III ACT clinical trial. These methods will be used to generate precision dosing methods for future clinical trials. Role: Co-I
NIA K25AG086592 (PI: Queen)
NIH NIA
The proposed project and the training components associated with this career award will examine working memory gains induced by transcranial direct current stimulation (tDCS) as a cognitive intervention method in cognitively healthy and impaired cohorts. Results from this study will promote a better understanding of mechanistic properties underlying working memory gains with tDCS and guide future intervention strategies to combat cognitive decline and improve the quality of life of aging and dem
2025 CAM Pilot Award (PI: Chien-Te Wu)
McKnight Brain Research Foundation
This pilot award funded the initial prototyping of a dynamic digital app for a novel cognitive test designed to measure cognitive flexibility in aging participants. Role: Co-I
Senior Scientist or Principal Investigator
University of Florida, Gainesville, USA
01 Mar 2023 - present