Activities
Our events, books, & lecturesNew 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
Frontier in Quantitative Understanding of Dynamic Living States & its Applications
27.Mar.2017(Mon) Imperial College London, UK
Physical Approaches for Growing & Evolving Populations
9.Feb.2017 Institute of Industrial Science, Univ. Tokyo
Quantitative Biology for Information Dynamics
18.Feb.2012 Institute of Industrial Science, Univ. TokyoBooks
Machine Learning in Biology (in Japanese)
Jikken-Igaku, Vol.38 No.20 (2020) Yodosha ISBN:9784758103916
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 ApproachesPast 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 SystemsTheoretical 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)
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)