Principal Investigator
Chaoming Wang
Guangdong Institute of Intelligence Science and Technology
Chaoming Wang is a Principal Investigator at the Guangdong Institute of Intelligence Science and Technology, where he leads research on large-scale brain simulation and brain-inspired intelligence. He received his B.E. in Computer Science and Technology from Beijing Jiaotong University in 2018 and his Ph.D. in Intelligent Science and Technology from Peking University in 2023. From 2023 to 2025, he was a Boya Postdoctoral Fellow at Peking University. His work integrates software systems, algorithms, and computational models for brain simulation, with current interests spanning brain modeling, brain-inspired computing, and computational neuroscience.
- Brain simulation
- Brain modeling
- Brain-inspired computing
- Computational neuroscience
Research Focus
My research develops the software and theory needed for scalable neural simulation, differentiable brain modeling, and biologically inspired computation. I am particularly interested in computational frameworks that connect scientific rigor with modern AI systems.
Software and Platforms
I contribute to open-source projects including BrainPy, BrainTaichi, BrainScale, and SAIUnit/BrainUnit, with an emphasis on reproducible, extensible, and high-performance computational neuroscience workflows.
Selected Highlights
- Flexible integration of continuous-time dynamics and event-based processing with brain dynamics programming, Nature Communications, 2024.
- Scalable generation of networks and simulation of synaptic plasticity in large-scale brain modeling, eLife, 2024.
- BrainTaichi: A High-Performance Scientific Computing Library for Brain Dynamics Programming, ICLR 2024.
- A large-scale V1 model in BrainPy, Cell Reports Methods, 2024.