Zhuo-Cheng Xiao, Ph.D.

I am an applied mathematician primarily focused on computational neuroscience.

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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Invited Talks

  • 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