I am an Associated Research Scientist at the Center for Computational Neuroscience at Flatiron Institute, Simons Foundation. Driven by a broad interest in theoretical and computational neuroscience, my research seeks to understand the fundamental principles driving neural computation and cognition.
Current Research Focus:
Background:
Prior to joining Flatiron, I held a postdoctoral fellowship at Harvard’s John A. Paulson School of Engineering and Applied Sciences where I worked with Cengiz Pehlevan. I earned my PhD in condensed matter physics from Peking University where I was advised by Chao Tang and Yuhai Tu at the Center for Quantitative Biology. Before that, I pursued my undergraduate studies in physics at Central China Normal University in Wuhan.
I will join the Institute of Natural Sciences at Shanghai Jiao Tong University as a tenure-track Associate Professor starting from January 2025.
PhD in Condensed Matter Physics, 2019
Peking University, Beijing, China
BS in physics, 2012
Central China Normal University, Wuhan, China
Animal exhibit distinct behavior that dependent their internal states even for the same sensory input. Drosophila larva responds different to odors when starved compared with fed. This internal state dependent oflactory behavior is controled by a topdown feedback to antennal lobe circuit.
Biologically plausible networks models with noisy synaptic update explain the widely observed representational drift.
We extend previous theory to investigate how the interplay of extrinsic noise and intrinsic noise affects early-warning signals near critical transitions.
Multineuronal imaging of the odor responses in C. elegans and decoding analysis revealed a distinct organization compared with insects and mamammlians.
To achieve efficient coding of odor information in an array of nonlinear olfactory receptors, the odor-receptor sensitivity matrix must be sparse. This sparsity depends on the statistics of environmental odors. We used analytical calclation and extensive numerical simulation to study the optimal sensitivity matrix for recptors with and without spontaneous (background) activity.
Biologically plausible networks models with noisy synaptic update explain the widely observed representational drift.
We built a circuit model of the first olfactory information processing center of fruit fly, which incorporates key features of neuron-neuron interactions such as short-term plasticity and presynaptic inhibition.
Research projects:
Research projects:
I was advised by Dr. Chao Tang at the Center for Quantitative Biology, Peking University. My research was focused on quantitative and systems biology, biophysics and computational neuroscience. Research projects:
100%
100%
80%
30%
100%