Kento Nakamura
Takehiro Tottori
Shuhei Horiguchi
Ignacio Madrid
Maski Kato
Pawel Piotr Romanczuk
Manon Costa
Keita Kamino
Benjamin Markus Friedrich
Corentin Briat
Daisuke Kiga
Biological systems exhibit remarkable adaptive capabilities through chemical reaction networks, cellular information processing and collective decision-making. Diverse methods (e.g., synthetic genetic circuits, quantitative measurement, stochastic modeling, optimal control and Bayesian filtering) have illuminated how life optimizes behavior and stochasticity. By integrating these perspectives, researchers are uncovering fundamental principles of adaptation and exploring ways to understand these processes.
This two-day session explores how living systems process and control information to adapt to fluctuating environments across scales—ranging from molecular networks to single cells and from single cells to populations.
Drawing on experimental and theoretical approaches, we aim to clarify how adaptive strategies emerge under physical constraints. Throughout this session, we discuss open questions and future directions in biological information processing and control.
9:30-9:45: Introduction by coordinator
9:45-10:30: Talk by Corentin Briat
Title: Open Problems and Potential Research Directions in Cybergenetics.
10:30-10:50: Discussion
10:50-11:20: Break
11:20-11:40: Talk by Shuhei Horiguchi (coordinator)
Title: Toward the theory of multicellular learning and adaptation
11:40-12:00: Talk by Masaki Kato (coordinator)
Title: Reinforcement Learning-based Perspective on Chemotactic Cell Populations
12:00-13:00: Lunch
13:00-14:15: Free time and OIST Lab tour (if scheduled)
14:30-15:15: Talk by Pawel Romanczuk
Title: Collective Information Processing: Interplay of structure, self-organization and function in multi-agent systems
15:15-15:35: Discussion
15:35-16:05: Break
16:05-16:50: Talk by Manon Costa
Title: Stochastic models for co-evolution in prey-predator systems.
16:50-17:10: Discussion
17:10-17:30: Talk by Ignacio Madrid (coordinator)
Title: Stress response trade-offs in a model of bacterial growth under antibiotics: single-cell versus population approaches
18:00-21:00: Dinner (taxi leave at 18:00 from Lab5 Parking Lot)
9:30-9:45: Introduction by coordinator
9:45-10:30: Talk by Daisuke Kiga
Title: AI-based design of genetic circuits and their parts
10:30-10:50: Discussion
10:50-11:20: Break
11:20-11:40: Talk by Kento Nakamura (coordinator)
Title: Quantifications of information flow based on dual reporter systems and its application to bacterial chemotaxis
11:40-12:00: Talk by Takehiro Tottori (coordinator)
Title: Optimal Estimation and Control Strategies in Biological Systems with Resource Limitations
12:00-13:00: Lunch
13:00-14:15: Free time and OIST Lab tour (if scheduled)
14:30-15:15: Talk by Keita Kamino
Title: Decoding Sensorimotor Control in E. coli Chemotaxis
15:15-15:35: Discussion
15:35-16:05: Break
16:05-16:50: Talk by Benjamin Friedrich
Title: Information theory of chemotaxis
16:50-17:10: Discussion
17:10-17:30: General Discussion
18:00-21:00: Dinner (taxi leave at 18:00 from Lab5 Parking Lot)