​Dr. Curtis’s research interests lie at the interface of engineering, data science and medicine. He investigates the transport properties of nanoparticle platforms for improved drug delivery. He uses machine learning models combined trained on nanoparticle trajectory datasets to characterize the nanoparticle-tissue microenvironment interface. As a data scientist, Dr. Curtis is also involved in many multidisciplinary projects across campus including thermal modeling of Lake Mead, genome sequencing and bioinformatics, open education resources evaluation, and support for wellness and retention of undergraduate researchers.