Dongping Zhang
dpzhang.contact[at]gmail[dot]com
I am a Research Scientist at Endeavor Health, where I work with the Investigational Innovation & Quality team, part of the organization's Research and Innovation division.
My current research focuses on designing and evaluating AI-assisted technologies in clinical and operational settings, with an emphasis on interpretability, safety, and practical implementation. I use mixed-methods approaches to study AI system performance, uncertainty communication, and human-AI collaboration in healthcare contexts.
Previously, I explored how to support graph-based decision-making, where decision-makers need to reason about uncertainty embedded in high-dimensional probabilistic graphs; how to support AI-advised decision-making by using post hoc methods to make prediction uncertainty of "black-box" AI models more explainable and transparent; and how to design predictive interfaces to communicate uncertainty and persuade strategic decision-making in multi-agent competitive settings, where decision-makers need to incorporate their anticipation of competitors' actions based on shared information stimuli.
I completed my Ph.D. in Technology and Social Behavior from Northwestern CS, advised by Prof. Jessica Hullman. You can view my academic CV here.
