The objective of this project is to support scheduling needs at the University of Florida Counseling and Wellness Center (UF-CWC). The UF-CWC has high levels of walk-in demand, some of which are for highly urgent needs and others are for new clients. This project uses methods from machine learning, simulation, and optimization to determine optimal staffing levels at the UF-CWC’s two campus locations