The focus of my research is to develop theoretical understanding of the process by which humans make decisions in dynamic environments and to provide practical demonstrations of how this theoretical knowledge can improve human dynamic decision making.
I founded the Dynamic Decision Making Laboratory, where we conduct research involving laboratory experiments and cognitive computational models, derive theoretical conclusions about dynamic decision making, and spawn novel applications to solve major societal problems (including cybersecurity, phishing, climate change, and human-machine interactions). For a detailed description of my research and the projects the laboratory currently pursues, please visit DDMLab's Research page.
I was a Post-Doctoral Fellow working at the Center for Interactive Simulations in the Graduate School of Industrial Administration, Carnegie Mellon University (now Tepper School of Business). I researched cognitive workload effects on performance in Real-Time Dynamic Decision Making (RTDDM) environments. The main objective of this research was to develop and test a cost-benefit theory of adaptation for individual and team decision making. In RTTDM the management of cognitive resources plays a key role in the acquisition of decision strategies.