Dongping Zhang
[firstname][dot][lastname][at]nrel.gov
I am a Research Scientist in AI and Data Visualization at the National Renewable Energy Laboratory (NREL), working with the Data, Analysis, and Visualization group and the AI, Learning, and Intelligent Systems group at NREL's Computational Science Center.
My current research focuses on quantifying and visualizing uncertainty in ML/AI models related to renewable energy, energy efficiency, and transportation. I develop methods, tools, and interfaces for decision-support systems to enhance data-driven decision-making.
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 received my Ph.D. in Technology and Social Behavior from Northwestern CS, advised by Prof. Jessica Hullman. You can view my academic CV here.
