Dynamical Systems Group

We develop novel computational frameworks for system identification of biological networks, such as intracellular molecular cascades and gene networks. We employ Bayesian framework to estimate unknown variables and parameters based on experimental data and prior knowledge in an efficient and objective way. 

Systems Neurobiology Group

We test theoretical models about how neuromodulators, such as dopamine and serotonin, regulate learning and decision making through neurobiological experiments using rodents. 

Adaptive Systems Group

We explore adaptive mechanisms necessary for self-preservation and self-reproduction using Cyber Rodents , which survive by foraging battery packs and reproduce in software through IR communication ports.