I received my Ph.D. in Experimental Psychology (Cognition & Perception) from New York University in 2023. In my doctoral research, supported by a National Defense Science and Engineering Graduate Fellowship, I developed and validated a leading method for estimating alertness levels in humans using measurements of the eye. I also investigated how humans use vision to navigate with a combination of virtual reality experiments and computer-vision-inspired theory. In 2022, I held the position of Research Scientist Intern at Meta Reality Labs (formerly Oculus), where I investigated low-level motor constraints on eye movements in everyday tasks and environments. The goal of my current research is to improve contextual artificial intelligence models for augmented reality applications using eye tracking. I teach Perception for undergraduate students and Statistics for Master's students in NYU's Psychology Department.
Charlie S. Burlingham
Adjunct Professor
Cognitive & Computational Neuroscience, Perceptual Psychology, VR/AR
Ph.D. 2023 New York University
B.H.A. 2016 Carnegie Mellon University
Burlingham, C., Sendhilnathan, N., Komogortsev, O., Murdison, T.S., Proulx, M. (2023). Motor “laziness” constrains fixation selection in real-world tasks. bioRXiv.
Szpiro, S.*, Burlingham, C.*, Simoncelli, E., & Carrasco, M. (2023). Perceptual learning improves discrimination while distorting appearance. bioRxiv. *Equal Contribution.
Burlingham, C.*, Mirbagheri, S.*, & Heeger, D. (2022). A unified model of the task-evoked pupil response. Science Advances, 8 (16). *Equal Contribution.
Burlingham, C. & Heeger, D. (2020). Heading perception depends on time-varying evolution of optic flow. Proceedings of the National Academy of Sciences, 117 (50).
A full list of publications is available on my Google Scholar page.