Dipesh Niraula is a post-doctoral research fellow in the Department of Machine learning working in Dr. Issam El Naqa’s research group. He received his Ph.D. and M.S. in Theoretical and Computational Device Physics from the University of Toledo. Before joining Moffitt Cancer Center, he trained under Dr. Naqa as a post-doctoral researcher in the Department of Radiation Oncology at the University of Michigan. He is currently involved in designing a clinical decision support system for radiation oncology based on Deep-Q and Quantum Reinforcement learning framework, capable of recognizing dose-response, predicting outcome, and recommending optimal dose.