Jiachuan Wang 汪嘉川
Logo Graduate Researcher, Ph.D. Student @ NUS

Learning and memory allow animals to adapt to dynamic environments, but how do different neural substrates contribute to these processes? How do molecular and physiological factors, along with individual differences, shape the acquisition and exploitation of knowledge? To explore these questions, I develop interpretable computational models grounded in theory and experimental data to explain and predict cognitive states and behaviors.

I am currently a Ph.D. student at the National University of Singapore, where I study biologically plausible models of spatial learning and associative memory under the supervision of Andrew Tan, Camilo Libedinsky, and Shih-Cheng Yen. Previously, I contributed to fMRI research on human memory with Gedi Lukšys and the monkey connectome with Anna Wang Roe.

Curriculum Vitae

Education
  • National University of Singapore
    National University of Singapore
    Ph.D. Student in Medicine (Neuroscience and Biostatistics dual Track)
    2023 - present
  • Zhejiang University
    Zhejiang University
    B.Sc. in Bioinformatics
    2019 - 2023
  • The University of Edinburgh
    The University of Edinburgh
    B.Sc. (Hons) in Biomedical Informatics
    2019 - 2023
Experience
  • National University of Singapore
    National University of Singapore
    Camilo Libedinsky lab, The N.1 Institute for Health
    Graduate Researcher
    Sep. 2023 - present
  • The University of Edinburgh
    The University of Edinburgh
    Gediminas Lukšys lab, Centre for Discovery Brain Sciences
    Rotation Student
    Mar. 2022 - Aug. 2023
  • Zhejiang University
    Zhejiang University
    Zhiping Wang lab, School of Brain Science and Brain Medicine
    Rotation Student
    Jan. 2022 - Sep. 2022
    Jun. 2020 - Aug. 2020
  • Zhejiang University
    Zhejiang University
    Anna Wang Roe lab, Interdisciplinary Institute of Neuroscience and Technology
    Rotation Student
    Apr. 2021 - Oct. 2021
Honors & Awards
  • NUS Research Scholarship
    2023 - present
  • Outstanding Graduate of Zhejiang University
    May. 2023
  • Zhejiang University Scholarship
    Dec. 2022
  • ZJU-UoE Institute Academic Scholarship (¥40,000)
    Dec. 2022
News
2025
Our recent work, A biologically plausible reinforcement learning model for the causal relationship between hippocampal Hebbian plasticity and pattern separation in memory, was presented at the NeuroFrontiers: Bridging Molecules, Minds, and AI Systems Symposium!
Jan 21
2024
I won the first prize in the CTC Youth Cup International Organizations Document Translation Competition, awarded by the China Translation Corporation and UNITAR CIFAL Shanghai!
Jan 30
2023
Our preliminary results on the navigation strategies of mice in the Morris water maze were presented at EBBS 2023!
Aug 26
Selected Publications (view all )
Computational model-based analysis of spatial navigation strategies under stress and uncertainty using place, distance and border cells
Computational model-based analysis of spatial navigation strategies under stress and uncertainty using place, distance and border cells

Shiqi Wang, Jiachuan Wang, Wenyuan Zhu, Yuchen Cheng, Beste Aydemir, Yanran Qiu, Wulfram Gerstner, Carmen Sandi, Gedi Luksys

Neuroscience 2023: Society for Neuroscience (SfN) 2023

We investigated how stress and uncertainty affect learning in two mouse strains using the Morris water maze and modeled their behavior with a biologically plausible network of border and place cells, revealing computational correlates of temperature-based differences.

Computational model-based analysis of spatial navigation strategies under stress and uncertainty using place, distance and border cells

Shiqi Wang, Jiachuan Wang, Wenyuan Zhu, Yuchen Cheng, Beste Aydemir, Yanran Qiu, Wulfram Gerstner, Carmen Sandi, Gedi Luksys

Neuroscience 2023: Society for Neuroscience (SfN) 2023

We investigated how stress and uncertainty affect learning in two mouse strains using the Morris water maze and modeled their behavior with a biologically plausible network of border and place cells, revealing computational correlates of temperature-based differences.

Fine-tuning of mTOR signaling by the UBE4B-KLHL22 E3 ubiquitin ligase cascade in brain development
Fine-tuning of mTOR signaling by the UBE4B-KLHL22 E3 ubiquitin ligase cascade in brain development

Xiangxing Kong, Xin Shu, Jiachuan Wang, Dandan Liu, Yingchun Ni, Weiqi Zhao, Lebo Wang, Zhihua Gao, Jiadong Chen, Bing Yang, Xing Guo, Zhiping Wang

Development 2022

The UBE4B-KLHL22 E3 ubiquitin ligase cascade regulates mTOR activity in neurodevelopment, and its disruption impairs neural precursor proliferation and differentiation, which can be rescued by mTOR inhibition.

Fine-tuning of mTOR signaling by the UBE4B-KLHL22 E3 ubiquitin ligase cascade in brain development

Xiangxing Kong, Xin Shu, Jiachuan Wang, Dandan Liu, Yingchun Ni, Weiqi Zhao, Lebo Wang, Zhihua Gao, Jiadong Chen, Bing Yang, Xing Guo, Zhiping Wang

Development 2022

The UBE4B-KLHL22 E3 ubiquitin ligase cascade regulates mTOR activity in neurodevelopment, and its disruption impairs neural precursor proliferation and differentiation, which can be rescued by mTOR inhibition.

All publications