1. Timbral effects on consonance disentangle psychoacoustic mechanisms and suggest perceptual origins for musical scales, Nature Communications, 2024
2. Large language models predict human sensory judgments across six modalities, Scientific Reports, 2024
3. The universal law of generalization holds for naturalistic stimuli, Journal of Experimental Psychology: General, 2024
4. Analyzing Diffusion as Serial Reproduction, Proceedings of the 40th International Conference on Machine Learning, 2023
5. Words are all you need? Language as an approximation for human similarity judgments, The Eleventh International Conference on Learning Representations, 2023
Research Experience
PhD candidate at Princeton University's Department of Psychology
Member of the Griffiths Computational Cognitive Science Lab
Collaborates with the Cornell Computational Cognition Lab
BSc: Joint degree in Physics and Electrical Engineering, Technion
Background
PhD candidate at Princeton University in the Department of Psychology, with research interests in computational cognitive science. Currently in the 5th year, working in the Griffiths Computational Cognitive Science Lab and collaborating closely with the Cornell Computational Cognition Lab.