His current research program uses a combination of behavior, computational modeling, machine learning, neurophysiology, and neuroimaging methods to understand high-level sensory processes. His recent work has focused on three main areas: (1) combining rigorous psychophysics with primate neurophysiology to decode neural signatures of perceptual confidence in several brain regions of interest; (2) applying decoded neurofeedback techniques with perceptual illusions to probe the neuroanatomical locus of perceptual consciousness; (3) Using computational models to better understand the principles underlying sensory integration. His goal is to develop an interdisciplinary approach to answer important questions about perceptual metacognition, attention, integration, peripheral vision, and consciousness.