About Me
I am a research assistant at the BRAINML Lab at Georgia Tech. I am interested in the intersection of neuroscience and AI (NeuroAI). On the AI side, I develop cognitive-inspired reinforcement-learning models; on the neuroscience side, I study how the hippocampus supports learning, memory, and generalization.
Previously, I earned my BSc from Peking University. At that time I was exploring AI applications in science before focusing exclusively on NeuroAI after a year of exploration.
Interests
- NeuroAI
- Reinforcement Learning
- Hippocampus
Education
BSc
Peking University
📚 My Research
I apply quantitative methods to investigate the connections between carbon intelligence and silicon intelligence.
Recent Publications
(2025).
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors.
arXiv preprint arXiv:2501.12633.
(2025).
Learning Task-Agnostic Skill Bases to Uncover Motor Primitives in Animal Behaviors.
arXiv preprint arXiv:2506.15190.
(2024).
Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents.
arXiv preprint arXiv:2402.01467.