Takashi Okada
Associate Professor, Institute for Frontier Life and Medical Sciences, Kyoto University, Japan
Research interests
- Evolutionary dynamics and genetic drift
- Theoretical biophysics of biochemical reaction systems
- Information flow and control in complex systems
I’m interested in biological physics: how simple, predictive laws emerge from messy microscopic interactions. I develop theory and inference tools for networked biochemical and evolutionary systems—linking connectivity to robustness and multistability in chemical reaction networks, characterizing non-classical drift in populations with extreme reproductive variability, and inferring transmission structure from viral allele-frequency time series. I also study information flow in stochastic control networks, aiming for analytic and interpretable descriptions of neural networks.
Awards
- 2017, the 12th Particle Physics Medal, Young Scientist Award in Theoretical Particle Physics (素粒子メダル奨励賞)
- 2019, the 13th Young Scientist Award of the Physical Society of Japan (日本物理学会若手奨励賞)
- 2020, the 15th Young Scientist Award of JSMB (日本数理生物学会研究奨励賞)