Zhou Fang 

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Tenure-Track Associate Professor

Key Laboratory of Systems and Control,
Academy of Mathematics and Systems Science,
Chinese Academy of Sciences, China

Email: zhfang(at)amss.ac.cn

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Research Interests

I am a mathematician and control theorist working at the interface of math, control theory, and biology. My ultimate goal is to develop mathematical control theory that provides fundamental guidelines for controlling and engineering living cells. My research interests encompass a variety of scientific fields that have potential for my research goal; some are listed as follows.         

  • Chemical Reaction Network Theory
  • Systems and Control Theory 
  • Systems and Synthetic Biology
  • Statistical Inference and Filtering
  • Machine Learning 
  • Thermodynamics 

News

2024
  • January 13: I officially started my tenure-track associate profeesor position at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences.
2024
  • December 16--19: I attended IEEE--CDC 2024 in Milan and gave a talk "Effective filtering approach for joint parameter-state estimation in SDEs via Rao-Blackwellization and modularization."
  • August 20: I visited Xi'an Jiaotong University and gave a talk on my recent research projects.
  • August 18: I gave a talk "A divide-and-conquer approach for biological filtering problems" at CSIAM Conference on Mathematics of Systems and Control (系统与控制数学研讨会).
  • July 24: Our paper titled "Effective filtering approach for joint parameter-state estimation in SDEs via Rao-Blackwellization and modularization" has been accepted to IEEE--CDC 2024.
  • July 15: ETH Zurich reported on our novel approach for identifying intracellular reaction processes in their news release. [Link]
  • June 30 -- July 6: I am attending KSMB-SMB 2024, Seoul, South Korea.
    -- I will chair the Mini-sympoium "Efficient Theoretical and Computational Methods for Analyzing Stochastic Behaviors in Intracellular Reaction Processes" on Monday afternoon.
    -- My talk titled "A divide-and-conquer approach for analyzing high-dimensional noisy gene expression networks" will be on Tuesday afternoon.
  • May 2: Our paper titled "Advanced methods for gene network identification and noise decomposition from single-cell data" has been accepted to Nature Communications.
  • March 1: I gave a talk titled "A divide-and-conquer approach for analyzing high-dimensional noisy gene expression networks" at the SIAM Conference on Uncertainty Quantification (UQ24).

My earlier news can be found here.