

- Ph.D., Cognitive Neuroscience, Carnegie Mellon University, 2024
- M.S., Psychology, Carnegie Mellon University, 2023
- B.S., Neuroscience, Brandeis University, 2017
- Postdoctoral Fellow, Center for Perceptual Systems, University of Texas at Austin, 2024-2025
- Graduate Researcher, Psychology, Carnegie Mellon University, 2020-2024
- Graduate Teaching Assistant, Psychology, Carnegie Mellon University, 2022-2023
- Behavioral Brain T32 Fellowship, National Institute of Health, 2021-2023
Dr. Luor specializes in human perception, auditory processing, speech comprehension, cognition, attention, and learning. He has extensive experience analyzing human behavior, including response time, detection accuracy, and decision-making processes. Dr. Luor applies his expertise to evaluate how human factors influence performance and usability in real-world environments, including incidents involving automobiles, pedestrians, motorcycles, bicycles/scooters, and tractor-trailers. Additionally, he has years of experience in experimental design, methodology, behavioral data collection, and quantitative analysis.
Dr. Luor received his Ph.D. in Cognitive Neuroscience from Carnegie Mellon University, where he investigated how learning patterns in the environment shape listening behavior and influence decision-making. He utilized and leveraged novel online data collection and psychophysics methodology to understand how learning and attention interact to enhance auditory processing across a variety of listening environments.
Prior to joining Ä¢¹½tv, Dr. Luor was a Postdoctoral Fellow at the University of Texas at Austin, where he examined how listeners direct attention to learn and adapt to different acoustic features, with important implications for auditory perception and second language learning. He also served as a Research & Measurement Science Intern at Educational Testing Service (ETS), focusing on how users learn and perform in computer-based tasks. In addition, Dr. Luor worked as a Neuroimaging Technician at Washington University in St. Louis, where he examined how aging impacts speech comprehension in clinical populations.