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- Angelique Delarazan is a graduate student in Zachariah Reagh’s Complex Memory Lab. Her research interests span cognitive psychology, cognitive neuroscience, and aging, with a focus on memory. She employs naturalistic stimuli, such as films and narratives, to explore age-related changes in how real-life experiences are encoded and remembered. Through the use of behavioral and neuroimaging methods, Angelique’s work aims to uncover the neural mechanisms that support memory processes and investigate how specific aspects of event representations may become vulnerable with age.
(mentored by Zachariah Reagh)
- Jessica Hahne is a graduate student in Brian Carpenter’s Clinical Geropsychology Lab. Her research focuses on clinician-family-patient communication and decision-making in cancer and other serious illness care. She is particular interested in the influence of technology, such as patient portals and generative artificial intelligence, on medical communication and decision-making. She maintains ongoing research partnerships with colleagues at Yale University; Memorial Sloan Kettering; Central South University in Changsha, China; and other leading research institutions.
(mentored by Brian Carpenter)
- Isaiah Spears is a full-time doctoral student in Clinical Science in the BRAIN lab (Behavioral Research and Imaging Neurogenetics). His research focuses on exploring plausible mechanisms (e.g. personality, life experiences, environment, genetics) that may influence various health outcomes in older adults.
(mentored by Ryan Bogdan)
- Hannah Wilks is a graduate student in the Cognitive Technology Research Laboratory (CTRLab). Hannah is broadly interested in neuropsychology, aging, and dementia. Her research focuses on leveraging technology-based cognitive assessments to identify and predict future Alzheimer Disease diagnoses. Her recent work has extended to examining the relationship between sleep, cognition, and Alzheimer Disease.
(mentored by Jason Hassenstab)
- Ran Zhang conducts research investigating the language accompanying accurate and inaccurate memories from individuals across the lifespan. To do so, she studies the language used by older and younger adults when justifying their recognition memory decisions. She is interested in how this language reveals information about the underlying mechanisms of recognition memory processes, how others may utilize this language to make judgments about someone else’s memory veracity, and how this language differs across age cohorts. She utilizes simple machine learners, large language models, and decision modeling to answer these questions.
(mentored by Ian Dobbins)