School of Medicine
Showing 1-10 of 15 Results
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Bonnie Halpern-Felsher
Marron and Mary Elizabeth Kendrick Professor of Pediatrics and Professor, by courtesy, of Epidemiology and Population Health and of Psychiatry and Behavioral Sciences (Child and Adolescent Psychiatry)
Current Research and Scholarly InterestsResearch focuses on developmental, cognitive and psychosocial factors involved in adolescents’ and young adults’ health-related decision-making, perceptions of risk and vulnerability, health communication and risk behavior. My research has focused on understanding and reducing health risk behaviors such as tobacco use, alcohol and marijuana use, risky driving, and risky sexual behavior.
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Summer Han
Associate Professor (Research) of Neurosurgery, of Medicine (Biomedical Informatics) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy current research focuses on understanding the genetic and environmental etiology of complex disease and developing and evaluating efficient screening strategies based on etiological understanding. The areas of my research interests include statistical genetics, molecular epidemiology, cancer screening, health policy modeling, and risk prediction modeling. I have developed various statistical methods to analyze high-dimensional data to identify genetic and environmental risk factors and their interactions for complex disease.
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Cellas Ari'ka Hayes
Postdoctoral Scholar, Epidemiology
BioCellas is currently a postdoctoral fellow/Propel scholar at Stanford University in the Department of Neurology and Neurological Sciences in a laboratory utilizing longitudinal data analysis and neuroimaging modalities to understand the aging brain, neuropathology, cognition, and Alzheimer’s Disease. Postdoctoral experience includes using R, Linux, and Python to perform data preprocessing, multivariate statistical analysis, and applying novel models for longitudinal continuous outcomes. Cellas received his Bachelor’s in Biology (2015-2019) and Doctor of Philosophy in Pharmaceutical Sciences with an emphasis in Pharmacology (2019-2022) from the University of Mississippi. As a doctoral candidate, his research focused on using both in vitro and in vivo approaches to further elucidate how neuroendocrine modulation specifically insulin-like growth factor-1 alters learning and memory performance along with ischemic stroke outcomes. Skills gained during doctoral training included in vitro cell culture, pharmacological experimental design of both in vitro and in vivo studies, development of transgenic mouse models, a wide array of rodent behavioral paradigms, stereotaxic surgery, photothrombosis, and numerous ex vivo cellular, molecular, and microscopy techniques.
My primary interests lie at the intersection of aging, neurodegenerative disease, and using longitudinal epidemiological data sets to investigate hypotheses. All around neuroscientist seeking sci-comm, industry, and academic opportunities to strengthen skills to become an independent investigator. -
Victor W. Henderson, MD, MS
Professor of Epidemiology and Population Health and of Neurology and Neurological Sciences
On Partial Leave from 10/01/2024 To 11/30/2024Current Research and Scholarly InterestsResearch interests:
(1) Risk factors for age-associated cognitive decline and for dementia.
(2) Therapeutic strategies to improve cognitive abilities in aging and in dementia.
(3) Brain–behavior relations as they pertain to human cognition. -
Tina Hernandez-Boussard
Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.
