As a cognitive scientist, I adopt a multidisciplinary approach to understanding how the human brain perceives and interacts with the world around us. I think across and beyond the boundaries of psychology, neuroscience, linguistics, anthropology, artificial intelligence, and philosophy to explore the nature of human cognition and intelligence. 

My research centers on the cognitive processes underlying learning from both traditional and digital texts. I am particularly fascinated by how literacy and text comprehension develop across the lifespan, from early education through adulthood. Currently, I serve as a Graduate Research Assistant for Inference Galaxy (ELCII), a project federally funded by the U.S. Department of Education. The initiative aims to strengthen preschoolers’ inference-making skills to support improved text comprehension through digitally delivered learning modules.

I also care deeply about how emerging technologies and artificial intelligence are shaping the ways we engage with and learn from texts. In addition, I am deeply concerned with how misunderstandings and errors during conceptual learning can lead to lasting misconceptions, and how educators can identify and effectively address them through targeted instruction.

My research methodologies include eye-tracking, keystroke logging, and AI-powered tools such as chatbots. I welcome collaborations with researchers from related disciplines and those employing similar methods.

Feel free to visit my Google Scholar Citations profile to explore more of my research.