Description: Assistant Research Professor at Northeastern University
Postdoctoral Research Associate at Northeastern University
Computational systems, ranging from artificially intelligent assistants to data visualizations, become more common in the lives of end-users in the forms of tools such as AI coaches for esport games, data trackers in health applications, and voice activated assistants in their homes and phones. As these computationally assistive systems become more common in day to day use, it becomes increasingly important that we understand how end users interact with these systems and how their lives are impacted by that
I hope to make an impact in this emerging and highly relevant area. Through my research, I explore the interplay between computational assistants and learning. In educational contexts, intelligent systems are seeing increased use to create more personalized and accessible learning opportunities. Learning is not limited to academic contexts, however. Learning can also apply to acquisition of knowledge of how to perform a task or routine. Further, such data-driven, intelligent tools are seeing continued use a