Mission. My research aims to develop intelligent agents that can perceive, reason, and act in complex environments. I focus on neuro-symbolic methods, which combine neural networks with symbolic reasoning to enable both low-level perception and high-level decision-making. My work includes building differentiable reasoning pipelines and applying them to practical tasks of visual understanding and reinforcement learning. I aspire to create embodied agents that can reason and learn transparently and collaboratively with humans.

Note. I am currently in the graduation process and, thus, am not able to take any new supervisions at this time.

Timeline.

2020 - now:	Ph.D. student at the Machine Learning Lab, CS Department, TU Darmstadt, Germany.
2020 - 2020:	JSPS Research Fellow, Japan.
2018 - 2020:	M.Sc., Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan.
2014 - 2018:	B.Sc., Department of Informatics and Mathematical Science, Faculty of Engineering, Kyoto University, Japan.