Dr. Nikhil Padhye is a tenured Professor of biostatistics at the Cizik School of Nursing at UTHealth Houston. He teaches courses in statistics and data science, drawing on expertise in statistical modeling, machine learning, and the application of nonlinear dynamics to physiological systems.

His research is shaped by extensive collaborations across UTHealth Houston, resulting in publications spanning topics such as stem cell transplantation, dietary diversity, mHealth, ecological momentary assessment, HIV prevention, fractal dimension of heart rate variability, cranial electrotherapy stimulation, traumatic brain injury, brain-computer interface, hypothermia therapy, circadian rhythms, and Bayesian estimation of false-negative rates in COVID-19 PCR testing.

A unifying theme in much of his work is the quantification of biosignal complexity, especially through entropy-based measures of information content. Notably, two of his studies have demonstrated links between the entropy of abdominal temperature time series and the development of pressure injuries.