Ph.D. at The University of Tokyo — Machine Learning Engineer building intelligent systems.

I build systems that perceive, decide, and act.

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Four directions I build in.

(01)  Research Areas

Ph.D. at The University of Tokyo, working where machine learning meets perception, control, and the physical world.

01 / ML

Machine Learning

Deep models and representation learning — the backbone of everything else.

02 / RL

Reinforcement Learning

Policy optimization and sequential decision control under uncertainty.

03 / CV

Computer Vision

Image understanding and visual perception for real-world inputs.

04 / ROBOT

Robot Control

Closing the loop — perception and motion control on physical hardware.

Products that shipped.

(02)  Published Apps

Research is only half the work. These are live, in the hands of real users.

Where the work was presented.

(03)  Presentation & Publications

Selected conference presentations and peer-reviewed publications.

Education

The University of TokyoPh.D.
The University of TokyoMaster
The Institute of Science TokyoBachelor

Conference Presentations

IIBMP2022–2025
APBJC2024
ISCB2024
Japanese Society of Bioimaging2022–2023

Publications

Epigenetics & Chromatin — JournalPeer-reviewed