I am a postdoctoral researcher at the International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, in collaboration with KTH Royal Institute of Technology. My research develops bio-inspired AI systems for computer vision and natural language processing by drawing on principles of predictive processing and self-organization observed in biological systems.
I focus on creating adaptive and robust learning frameworks that excel in dynamic, uncertain environments. My work spans unsupervised learning, dynamical systems, neural representations, and sequence learning. Through computational modeling of brain functions—particularly prediction and complex sequence processing—I aim to develop artificial intelligence that reflects the efficiency and resilience of biological cognition.