Our work is aimed at investigating human creativity and relational thinking through various methods. One goal of our research is to understand the neural bases of creative thinking and to identify effective uses of neuromodulation techniques including neurofeedback, closed-loop TMS-EEG and transcranial focused ultrasound, to enhance creativity. Another goal is to build computational tools and metrics to quantify and visualize elements of creativity. Relatedly we are developing quantitative approaches to understand how human interaction with AI influences creativity and to measure and enhance the creative value of human thinking in AI co-creation. Finally, we are working to translate our learnings about creativity and relational thinking to various real-world applications including STEM classrooms and college admissions.
Our research is funded by grants from The National Science Foundation, The John Templeton Foundation, Templeton World Charity Foundation, The American Legacy Foundation, Pymetrics, Monad, and Partners in Research at Georgetown University.