Keita Tokuda

Keita Tokuda is an Associate Professor at the Faculty of Health Data Science, Juntendo University, specializing in the intersection of machine learning, nonlinear dynamics, and neuroscience. His research focuses on leveraging chaotic systems and reservoir computing for modeling biological processes like hippocampal activity and cerebellar computation, with applications in Alzheimer's disease biomarker discovery.

Research Keywords: Machine Learning, Alzheimer's Disease, Biomarkers, Neural Networks, Dynamical Systems, Chaos Theory, Cerebellum, Hippocampus, Applied Mathematics.

Scientific Awards:

• 2022 Japanese Neural Network Society Paper Award
• 2012 Tokyo University Life Science Symposium Poster Award

• 2024-2029: JSPS Grant-in-Aid for Scientific Research (Transformative AI in Healthcare)
• 2023-2028: JSPS Grant for Multicellular Neural Dynamics
• 2023-2026: JSPS Grant on Chaotic Neural Networks
• 2022-2025: JST Moonshot Project on Disaster Prevention
• 2020-2022: JSPS Grant for Cerebellar Reservoir Computing