My research program combines biophysics with synthetic biology to study genetic networks, drug resistance, and bioelectromagnetism. The Charlebois research group develops mathematical models and performs computer simulations, designs and builds electromagnetic devices, and conducts experiments on genetically engineered and pathogenic yeasts. Recently, we have begun using deep learning algorithms (ConvNets/CNNs) to quicky and accurately identify species of pathogenic yeast isolated from patient samples. This research is advancing our fundamental understanding of life and aims to improve treatments for patients with drug-resistant infections. I am also an Adjunct Professor in the Department of Biological Sciences and an Affiliate Faculty Member of the Collaborative Mathematical Biology Group. Please visit the Charlebois Lab website for more details.