My primary interests lie in:

• The principles of neural computation in brain functions like vision and memory;

• theoretical and computational methods for statistical dynamics in neural network models;

• Data-driven modeling in neuroscience.

I am a Courant Instructor/Assistant Professor at Courant Institute, NYU.

Before that, I obtained my Ph.D. in the Program in Applied Mathematics at The University of Arizona.

Email: xiao.zc@nyu.edu

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• AMS Sectional Meeting 07/2022. A data-informed mean-field approach to mapping cortical landscapes

• SIAM Annual Meeting 07/2022. A data-informed mean-field approach to mapping cortical landscapes

• Society for Mathematical Biology 06/2021. A data-informed mean-field approach to mapping cortical landscapes

• A Bio Dynamics Days 2021, LMAH-Le Havre Normandie - NYU 06/2021. A data-informed mean-field approach to mapping cortical landscapes

• Modeling and Simulation Group Meeting, NYU 04/2021. Model Reduction of Gamma Oscillations

• Analysis and Its Applications Seminar, University of Arizona 03/2019. Computational Strategies in Analysis of Hippocampal Data

• Modeling and Computation Seminar, University of Arizona 02/2018. Multi-Level Monte Carlo Methods for Spiking Networks

• PLoS One

• NPJ Schizophrenia

• Neural Computation

• Cognitive Neurodynamics