
Education
PhD in Applied Mathematics at the University of Michigan
Subjects
Dynamical Systems, Control Theory, Differential Geometry, Hybrid Systems, Robotics and AI
Achievements
PhD student in applied mathematics at the University of Michigan; author of publications in mathematics and physics journals and peer-reviewed engineering conference proceedings; two years of experience teaching undergraduate mathematics courses
About
Kaito is a PhD scholar in applied mathematics at the University of Michigan specializing in dynamical systems, control theory, and geometry. His research focuses on hybrid systems and their applications to robotics, complex systems, and artificial intelligence. Alongside his research, he has experience teaching undergraduate courses and mentoring mathematics students through guided reading projects, supporting the development of strong theoretical foundations and research skills.
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