PhD
Mary Louise Adams Endowed Professor
Director, Center for Applied Data Science (CADS)
PhD
Mary Louise Adams Endowed Professor
Director, Center for Applied Data Science (CADS)
Areas
Biography
Dr. Kesler is a cognitive neuroscientist with expertise in neuroimaging, neuropsychology, biostatistics, machine learning and computer programming. The focus of her research concerns the effects of systemic chronic illness on brain aging. She aims to improve precision health management of cognitive toxicities in patients through biological subtyping and imaging transcriptomics related to cognitive dysfunction. She also examines how systemic illness accelerates brain aging—specifically through biological interactions (i.e., "syndemics") that are often overlooked when diseases are studied in isolation. She has obtained over $14 million in external grant funding including four National Institutes of Health R01's and the prestigious National Institutes of Health Director's New Innovator Award.
Publications and Projects
Current Funding
- R01CA226080 (PI) "Predicting Long-Term Chemotherapy-Related Cognitive Impairment"
Research Resources and Data
Software
- Software toolboxes for conducting brain network (connectome) analyses https://github.com/srkesler/bnets
- Software for introductory machine learning analysis https://srkesler.shinyapps.io/ML_Explorer/
Predictive Models
- Predicting probability of Alzheimer’s disease from T1 weighted MRI (Kesler, SR, et al. 2017. Alzheimers Dement (Amst), 9, pp. 67-75.)
Data
- Transgenic 5XFAD and non-transgenic functional and structural connectome data from Kesler, SR, et al. 2018. Netw Neurosci, 2, pp. 241-258.
Email Address:
Phone:
Office Location(s):
NUR 3.426