Coffee Meeting Log
2019-10-25
On integrability of quantum field theories
Ivan Kostov (Saclay)
2019-10-04
Topological phases of matter and operator algebras
Yasuyuki Kawahigashi (Senior Visiting Scientist, iTHEMS / Professor, Graduate School of Mathematical Sciences, The University of Tokyo)
2019-09-27
Derived geometry and topological field theory
Andrew Macpherson (IPMU)
Public2019-09-20
On Dark Matter
Enrico Rinaldi (Quantum Hadron Physics Laboratory, RIKEN Nishina Center for Accelerator-Based Science (RNC))
2019-09-06
On Data Assimilation
Takemasa Miyoshi (Deputy Program Director, iTHEMS / Team Leader, Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS))
2019-08-23
On Sensitivity Conjecture
Eren Mehmet Kıral (Visiting Scientist, iTHEMS / Visiting Scientist (JSPS Research Fellow), Faculty of Science and Technology, Sophia University)
2019-08-09
From astrophysics to Biophysics and back
Molodij Guillaume (Weizmann Institute)
2019-06-28
The neutron lifetime puzzle
Enrico Rinaldi (Quantum Hadron Physics Laboratory, RIKEN Nishina Center for Accelerator-Based Science (RNC))
2019-06-21
On the impact of the chiral anomaly and chiral magnetic effect in the early Universe
Kohei Kamada (Center for Theoretical Physics of the Universe, Institute for Basic Science, Republic of Korea)
2019-05-24
Introduction to Black Hole Shadow of M87
Yosuke Mizuno (Frankfurt University, Germany)
2019-05-17
What is quantum computing?
Shunji Matsuura (Fundamental Researcher, Quantum Simulation Division, 1QBit, Canada)
2019-05-10
Ingredients of gamma-ray searches of dark matter in the Universe
Nagisa Hiroshima (Postdoctoral Researcher, iTHEMS)
2019-04-05
Power of Supermassive Black Hole Jets
Yoshiyuki Inoue (Senior Research Scientist, iTHEMS)
2019-02-15
GRB Correlations for GRB Cosmology and machine-learning analysis
Maria Giovanna Dainotti (Visiting Scientist, Astrophysical Big Bang Laboratory, RIKEN Cluster for Pioneering Research (CPR))
2019-01-18
Stochastic and deterministic controls in ageing process
Yukinobu Arata (Cellular Informatics Laboratory, RIKEN)
Animals are born after a miraculous embryogenesis, and after the birth, they age and eventually die. Basically, ageing is considered as a “wearing out” process of biological systems. However, such a strong self-organizing force during embryogenesis would draw us to think why animals do not live forever based on the force? To scientifically approach this thought, we can set several questions; 1) what kind of statistical laws the “wearing out” process is governed by, 2) how much deterministic controls are involved in the ageing process, 3) how much we can predict or artificially manipulate our lifespan? To address these questions, I have been preparing for a recording system for motions and physiological change of a tiny multicellular animal, C. elegans at video rate during their lifespan (~20 days). This recording system will generate unprecedentedly long time series data in Biology. In this meeting, I would like to discuss which existing mathematical frameworks developed in Physics and Mathematics can be applicable for these Biological issues, and would like to discuss the limit of the mathematical frameworks.