Researchers at the USDA and Auburn University use a technique called electropenetrography (EPG) to better understand the feeding behaviors of arthropods, in particular mosquitoes. Manual analysis of EPG data is time-consuming for our researchers, and they seek to automate the process. To help them automatically analyze this EPG data, the Clinic team created a set of machine learning models they can use through a graphical user interface.