Research Interests |

Spatial Navigation

Tue, 15 Sep 2026 00:00:00 +0000

Spatial navigation is a fundamental component of everyday life. How do we know where we are? Where are we going? How do we get there? I am interested in understanding the human brain systems that enable this complex behavior. I have used fMRI and high-dimensional models to map the cortical network that mediates active navigation in a dynamic world. I will extend this line of research to understand how we represent other agents in the world, how we responds to changes in the environment, and how individual differences in navigation behavior and ability relate to functional differences in the brain.

Naturalistic Neuroimaging Methods

Tue, 15 Sep 2026 00:00:00 +0000

Real-world experience emerges out of a continuous perception-cognition-action loop. Because the brain is a nonlinear system, the brain activity that underlies this loop cannot be follu engaged by classic neuroimaging paradigms with static, controlled stimuli with which participants cannot interact. Dynamic experiments require interactive closed-loop experiments that can mimic the emergent complexity of real-world experiences.

To enable such experiments, neuroimaging requires a paradigm shift in experiment design and the infrastructure that supports it. I develop tools and methods for the nexxt generation of neuroimaging experiments that bring naturalistic interactivity into the scanner.

Dynamic Perspectives

Tue, 15 Sep 2026 00:00:00 +0000

Real-world experiences are dynamic, yet most neuroimaging methods are static and marginalize out time. I am interested in developing methods to capture the dynamics of brain activity that produce continuous, naturalistic behavior.

Human-AI Interactions

Tue, 15 Sep 2026 00:00:00 +0000

AI systems are increasingly deployed in the real world as embodied agents. This opens a new frontier in human-AI interactions in which AI agents are partners and co-equals with humans in complex environments. How do humans interact with other agents, and how do we design AI agents that interact intuitively with humans? Understanding the brain systems that mediate these interactions will be key to developing more intuitive and human AI systems.