Mission. My research interest is mainly around developing machine learning algorithms incorporating symbolic (logic, discrete structures, etc.) and numerical (probability, optimization, etc.) computations. Currently, I am mainly working on the Neuro-Symbolic approach, where the symbolic logic and neural-based models are incorporated to solve challenging problems requiring the models to perform perception from raw input and reasoning on high-level concepts.

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.

Publications