Life can be thought of as a type of stochastic information processing realized out of thermodynamic equilibrium. Living systems indeed consume energy to sustain order and information flow in fluctuating environments. Recent advances in non-equilibrium statistical physics and information theory offer a new framework to unravel the underlying principles of the dynamical processes in living matter. As an example of the developing interface between biology, information theory and statistical physics, a recently discovered new principle, the thermodynamic uncertainty relation, quantifies the energy-precision trade-off of biological processes and its physical bounds. Another important example of the richness of this interface is offered by machine learning, which couples ideas from neuroscience, computer science and statistical physics.
The new language developed in modern statistical mechanics is then expected to play a key role in the understanding of how order, and eventually life, emerges from disorder. It has been widely demonstrated that statistical mechanics is an essential tool for the development of the above subjects, and great interest in these subjects is currently shared by statistical physics and biophysics communities in Korea.
The 2022 ICTP-KIAS School on Statistical Physics for Life Sciences aims to introduce the next generation of students and researchers to these important themes: the quantitative understanding of life sciences, machine learning, and data science from the perspective of modern statistical physics. In addition to the pedagogical lectures, the school includes a small workshop for sharing recent research progresses among scientists at the frontier of this field.
The school aims at providing unique opportunities for (junior) scientists in the Asia Pacific region to learn modern statistical physics and its applications to quantitative life science, machine learning, and data science. The 2022 ICTP-KIAS School will contribute to the cross-fertilization between physics and biology as well as to long-term scientific collaborations between researchers in Asia and ICTP scientists.
Information theory, machine learning and statistical physics
Statistical mechanics of machine learning
Information theory and criticality
Statistical mechanics and reasoning
Out-of-equilibrium statistical physics and life
Biochemical rhythms and thermodynamics
Lecturers for the School:
Vipul Periwal (National Institutes of Health)
Jae Sung Lee (Korea Institute for Advance Study)
Pankaj Mehta (Boston University)
Takahiro Sagawa (University of Tokyo)
Speakers for the workshop:
Changbong Hyeon (Korea Institute for Advance Study)
Hyunggyu Park (Korea Institute for Advance Study)
Yongjoo Baek (Seoul National University)
Tetsuya Kobayashi (University of Tokyo)
Jae-Hyung Jeon (Pohang University of Science and Technology)
Yong Woon Kim (Korea Advanced Institute of Science and Technology)
Kunihiko Kaneko (Niels Bohr Institute)
Antonio Celani (The Abdus Salam International Centre for Theoretical Physics)