Activities

Our events, books, & lectures

New events

Previous events

Fantastic events with great speakers, audience, & collaborators.

Frontier in Hamilton Jacobi Equation and its Applications

12.May.2023 Institute of Industrial Science, Univ. Tokyo

Interface between Immunology & Quantitative Biology

20.May.2019 Institute of Industrial Science, Univ. Tokyo

Universal Principles in Biological Systems and their Evolution

14.March.2020 Faculty of Science, Univ. Tokyo

3 Days Exploration of Reinforcement Learning & Biological Intelligence

5-7.Mar.2019 Institute of Industrial Science, Univ. Tokyo

Physical Approaches for Growing & Evolving Populations


9.Feb.2017 Institute of Industrial Science, Univ. Tokyo

Quantitative Biology



12-13.Jan.2016 National Institute of Genetics

Force, Information, & Dynamics



9.Jan.2016 Institute of Industrial Science, Univ. Tokyo

Entropy, Information & Control



8.Jan.2016 Institute of Industrial Science, Univ. Tokyo

Bridging Theory & Experiment



8.Jan.2016 Institute of Industrial Science, Univ. Tokyo

Quantitative Biology for Information Dynamics

18.Feb.2012 Institute of Industrial Science, Univ. Tokyo

Books

Machine Learning in Biology (in Japanese)

Jikken-Igaku, Vol.38 No.20 (2020) Yodosha ISBN:9784758103916

Quantitative Biology (in Japanese)

Kagaku Dojin(28.Aug.2018) ISBN:4759817301

Bioimage Analysis (in Japanese)

Yodosha(28.Nov.2014) ISBN:9784758108157

Jikken Igaku:Quantitative Biology (in Japanese)

Yodosha(May.2014) ISBN:9784758100953

New Lectures

Making theory is a ceaseless persue for a better description of the world than ever.

Special Topics in Mathematical Informatics IV 2022

Theory for Stochastic Cellular Phenomena: Dynamics, Information Processing, Learning, and Evolution

Theoretical Biology 2022

Theory for Intracellular Systems: From Mathematical Analysis to Informatic Approaches

Past Lectures

Theoretical Biology 2021

Theory for Intracellular Systems

Special Topics in Mathematical Informatics IV 2020

Theory for Stochastic Cellular Phenomena

Theoretical Biology 2020

Theory for Intracellular Systems

Theoretical Biology

Theory for Intracellular Systems: From nonlinear phenomena to robustness

In this lecture, I outline the basic theory for modeling intracellular reactions, mechanisms of nonlinear behaviors, and principles of biological robustness. You are supposed to have the knowledge on linear algebra, analysis, mechanics, and kinetics. Assumed participants are those who want to learn basic theory for modeling intracellular phenomena. All the topics described in this lecture are described only with deterministic equations. For more advanced topics on stochastic cellular phenomena, take "Special Topics in Mathematical Informatics IV".

  • Link to 2018 lecture page (coming soon)
  • Link to U Tokyo lecture catalog (coming soon)
  • Registration form (coming soon)
  • A list of textbooks & references (coming soon)

Agenda (2016 version)

  • Guidence & Introduction: Reaction kinetics and networks
  • Reduction of kinetic models and nonlinear response
  • Molecular recognition and thermodynamic cost
  • Topiscs from quantitative embryology
  • Topiscs from quantitative immunology
  • Robusness and perfect adaptation in chemotaxis
  • Phenotypic heterogeneity and abusolute concentration compensation

Special Topics in Mathematical Informatics IV

Theory for Stochastic Cellular Phenomena

In this lecture, I describe who to model, analyze, and understand the stochastic aspects of cellular phenomena, together with an introduction of related knowledge on stochastic processes, statistics, and stochastic dynamical systems. The participants are supposed to have sufficient knowldge on linear algebra, analytics, functional analysis, statistics, mechanics, statistical physics, informatics, and so on. The lecture starts with a stochastic description of cellular phenomena. For more basic topics on cellular phenomena, take "2018 Theoretical Biology".

  • Link to 2018 lecture page (coming soon)
  • Link to U Tokyo lecture catalog (coming soon)
  • Registration form (coming soon)
  • A list of textbooks & references (coming soon)

Agenda (2016 version)

  • Guidence & introduction:Stochastic cellular phenomena
  • Point process and modeling of stochastic chemical reactions
  • Chemical master equation and noise-induced phenomena
  • Cumulant expansion and its application to noise propagation in a network
  • Chemical Langevin eq. & its path-integral form:Pathwise understanding
  • Information processing by a cell & information theory
  • Information decoding and cellular decision-making
  • Cellular bethedging and path-integral form of population dynamics
  • Fitness value of information