Shelli Kesler



Dr. Mary Louise Adams Endowed Professorship in Oncology Nursing

Program Leader, Survivorship and Supportive Care Research, LIVESTRONG Cancer Institutes

Director, Brain Health Neuroscience Lab

Director of Statistical Services, Cain Center for Nursing Research

Director, Center for Advanced Research Methods (CARM)

Member, Center for Computational Oncology, Oden Institute for Computational and Engineering Sciences

Adult Health; Tenured/Tenure Track


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 cancer and its treatments on brain network (connectome) organization. She aims to improve precision health management of cognitive toxicities in patients with non-CNS cancer though connectome-based subtyping and prognosis of cognitive dysfunction.  She also examines the relationships between the connectome, cognition, and survival in patients with CNS cancer.  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"
  • R01CA172145(PI) "Very Long-Term Neurocognitive Outcomes in Breast Cancer Survivors"
  • R03CA241862 (PI) "Using Connectomics and Machine Learning to Predict Survival in Diffuse Glioma"
  • R56AG071152 (Co-I) "Delaying Alzheimer's Disease Progression Through Intranasally Administered Nano-Antioxidants"
  • UT Frontiers of Neuroscience (MPI) "Rhesus Macaque Model of Chemotherapy-Related Cognitive Impairments and Neurodegeneration"
  • 1R21AG080339 (Co-I) "Driving Rehabilitation and Innovation for Evaluating Risk in Post-Intensive Care Unit Survivors (DRIVE-PICS)"

Research Resources and Data


Predictive Models


  • Transgenic 5XFAD and non-transgenic functional and structural connectome data from Kesler, SR, et al. 2018. Netw Neurosci, 2, pp. 241-258.