Summary
Shelli Kesler is an accomplished biomedical data scientist and academic leader with 11 years of experience translating imaging, signal processing, and statistical methods into applied health research. As Mary Louise Adams Endowed Professor and former Director of the Center for Applied Data Science at UT Austin, she directs interdisciplinary research programs, teaches graduate statistics, and consults on medical device and health app projects. Her background spans neuropsychology PhD training and postdoctoral work in neuroscience, biostatistics, and genetics, informing rigorous quantitative approaches in clinical contexts. She brings hands-on expertise in Matlab and R, a track record at institutions from Stanford to MD Anderson, and a practical knack for turning complex signal and imaging data into actionable clinical insights.
11 years of coding experience
12 years of employment as a software developer
Postdoctoral training, Neuroscience, Biostatistics, Genetics, Postdoctoral training, Neuroscience, Biostatistics, Genetics at Stanford University
Doctor of Philosophy - PhD, Neuropsychology, Doctor of Philosophy - PhD, Neuropsychology at Brigham Young University