By combining eye tracking, behavioral experiments, computational modeling, and clinical research, I investigate how sensory information is acquired, integrated, and used to guide action. I am particularly interested in how the brain evaluates and combines sensory information of differing reliability to guide behavior.
My long-term goal is to connect fundamental principles of sensory processing with real-world function, creating new opportunities for measuring, predicting, and improving human performance.
My work addresses three fundamental questions:
How can sensory function be measured more effectively?
I develop quantitative methods that use natural behavior, such as eye movements and reaction times, to assess sensory performance.
How does the brain combine information from multiple sources?
I study how sensory signals are integrated across space, time, and the two eyes, and how this integration depends on the reliability of the available information.
How do people adapt to sensory impairment?
I investigate how sensory deficits affect everyday behavior and how adaptive strategies can help maintain effective interaction with the environment.
Ultimately, my goal is to bridge the gap between fundamental neuroscience and real-world function. By understanding how sensory information guides behavior in healthy individuals and in people with sensory impairments, I aim to develop new approaches for assessment, prediction, and rehabilitation.