Dipesh Niraula, PhD

Applied Research Scientist

Dipesh Niraula is an applied research scientist 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. He worked in Dr. El Naqa’s lab as a post-doctoral researcher in the Department of Radiation Oncology at the University of Michigan and then in the Department of Machine Learning at Moffitt Cancer Center. During his post-doctoral research, he developed ARCliDS, a clinical decision support software for AI-assisted decision-making in adaptive RT and developed a hybrid quantum deep reinforcement learning framework for decision-making in adaptive RT. ARCliDS is capable of recognizing dose-response, predicting RT outcome, and recommending optimal dose adaptation. Currently he is engaged in a Human-AI interaction type experiment for evaluating ARCliDS.