Hi, I’m Haocheng Zhu! I am currently a Ph.D. student at UCLA, working in the Multisensory Processing Lab under the supervision of Dr. Ladan Shams. My research focuses on human perception, computational modeling of cognition, and cross-modal integration. I employ psychophysical experiments and neuroimaging techniques to uncover the general computational principles underlying multisensory perception. I am particularly interested in how the brain integrates information from different sensory modalities to create a unified perceptual experience and how these processes can be modeled computationally.

In addition to my research, I am the author of the BCI Toolbox (Bayesian Causal Inference Toolbox), a Python-based statistical and analytical package designed to facilitate Bayesian analysis for multisensory perception and causal inference studies. The toolbox supports researchers in implementing advanced statistical methods for data analysis, enhancing reproducibility and efficiency in research workflows.

Educations

• 2024.8-present, Ph.D in Computational Cognition, University of California, Los Angeles, USA
• 2020.9-2024.6, B.S in Psychology, Soochow University, Suzhou, China

Publications

Published

• Zhu, H., Tang, X., Chen, T., Yang, J., Wang, A., & Zhang, M. (2023). Audiovisual illusion training improves multisensory temporal integration. Consciousness and Cognition. link
• Zhu, H., Beierholm, U., & Shams, L. (2024). The overlooked role of unisensory precision in multisensory research. Current Biology. link
• Zhu, H., Beierholm, U., & Shams, L. (2024). BCI Toolbox: an open source package in python for Bayesian causal inference model. PLoS Computational Biology. link

Submitted

• Wang, A., Zhang, J., Liu, G., Zhu, H., & Tang, X. (submitted). No transfer of auditory dominance to visual dominance among children and young adults: evidence from Bayesian causal inference.

In Preparation

• Zhu, H., Beierholm, U., & Shams, L. (in prep). Analyzing multisensory integration do’s and don’ts.
• Zhu, H., Zhang, Y, & Shams, L. (in prep). Multidimensional Bayesian causal inference modulates multisensory perception.
• Parong, J., Kamal, K., Zhu, H., Hang, L., Moreland, M., Shams, L., Seitz, A., & Green, C., S. (in prep). Bayesian Causal Inference in the Memory Suggestibility Effect.
• Zhu, H., Wang, A., Shams, L. (in prep). Bayesian causal inference behind multisensory depth perception.
• Quintero, S. I., Kamal, K., Zhu, H., & Shams, L. (in prep). Audiovisual temporal numerosity training alters multisensory integration and unisensory processing.
• Wang, A., Qian, Q., Zhu, H., Shen, L., & Chen, Q. (in prep). Neural dynamics in multisensory temporal integration: a f-MRI study

Talks & Posts

• 6th Chinese Vision Science Society Conference, poster, Wenzhou, China, 2023
• Chinese Computational & Cognitive Neuroscience Conference, poster, HongKong, 2024
• International Multisensory Research Forum, poster, Reno, USA, 2024
• UCLA Cognitive Forum, talk, USA, 2024
• The Future of Neuroscience, poster, Los Angeles, USA, 2024

Honors and Rewards

• UCLA Dean Scholar Fellowship, 2024, 14,500$
• UCLA Departmental Fellowship, 2024, 25,000$