Division of Systemic Life Science

Laboratory of Theoretical Biology

Research summary

Research outline

To understand the mechanisms behind dynamic and complex biological phenomena, we are combining mathematical modeling and machine learning for decoding the governing rules or equations that govern biological system.

Main themes

  • Inference of axon wiring rules from neural connectome data
  • Reconstruction of spatial transcriptome from one-cell RNA-seq data
  • Identification of governing equations from multicellular live imaging data
  • Data-driven modeling for early detection of neurodegenerative diseases
  • Deciphering behavioral strategies and mental fluctuations from behavioral data
  • Mathematical modeling of immune system/stem cell homeostasis/morphodynamics


HONDA, NaokiSpecially Assigned Professor

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Hiroshima University, Higashi-Hiroshima Campus Research Building C

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