Curriculum Vitae

Education

PhD in Creative Informatics (2025 - 2028)
Graduate School of Information Science and Technology, The University of Tokyo

  • Advisor: Prof. Kei Okada
  • Research Focus: Robot Learning and 3D Affordance Extraction
  • Expected Graduation: March 2028

Master of Science in Mechano-Informatics (2022 - 2025)
Graduate School of Information Science and Technology, The University of Tokyo

  • Research: 3D Affordance Learning from Human Video Data for Robotic Manipulation
  • Advisor: Prof. Kei Okada
  • Graduated: March 2025

Bachelor of Science in Mechanical Engineering (2016 - 2022)
School of Engineering, Tokyo Institute of Technology

  • Military Service: September 2017 - August 2019
  • Graduated: March 2022

Research Experience

PhD Student (2025 - Present)
JSK Robotics Laboratory, The University of Tokyo

  • Research on 3D affordance extraction from human video data for robotic manipulation
  • Developing ego-centric SfM and 3D reconstruction methods
  • Focus on transferring human manipulation skills to robots

Master’s Student (2022 - 2025)
JSK Robotics Laboratory, The University of Tokyo

  • Developed methods for learning 3D affordances from human-object interactions
  • Published research on amphibious humanoid platforms
  • Contributed to Open X-Embodiment project (Google DeepMind collaboration)

Student Intern (August - September 2022)
Driver Experience Department, Bosch Japan

  • Analyzed driving data for automatic driving model design
  • Worked in Cross Domain Computing Solution division

Student Intern (September 2022)
Solution Architect, AWS Japan

  • Participated in cloud service design projects
  • Focused on security and database deployment solutions

Teaching Experience

Teaching Assistant - [Course Name] (Semester Year)
[Your University]

  • Taught lab sessions for XX students
  • Held office hours and graded assignments
  • Course rating: X.X/5.0

Publications

See Publications page for full list.

Selected Awards and Honors

  • Japan-Korea Joint Government Scholarship - MEXT, 2015-2022
  • Outstanding Student Award - Hakuseikai (Tokyo Tech Mechanical Engineering Alumni), September 2021
  • Outstanding Student Award - Robotics Society of Japan, March 2022
  • Heiwa Nakajima Foundation Scholarship - 2023-2024
  • ICRA 2024 Best Robotic Manipulation Paper Finalist - Open X-Embodiment Project

Technical Skills

Programming Languages: Python, C/C++, MATLAB, Common Lisp
Machine Learning: Computer Vision, LLM, Robot Learning, Deep Learning
Robotics: ROS (Robot Operating System), Manipulation, Humanoid Robotics
Cloud Computing: AWS, Azure
Languages: Korean (Native), Japanese (JLPT N1), English (TOEIC 915, TOEFL 92)

Open Source Contributions

Software Development

  • deep_vision_ros (https://github.com/ojh6404/deep_vision_ros)
    ROS1 wrapper package for SOTA Computer Vision models, actively used in research labs
  • LeRobot (https://github.com/huggingface/lerobot)
    Contributor to HuggingFace’s robotics learning framework

Research Projects

  • Open X-Embodiment: Robotic Learning Datasets and RT-X Models (Google DeepMind collaboration)
  • Development of amphibious humanoid platform for whole-body manipulation tasks

Presentations

  1. [Talk Title]
    [Conference/Seminar Name], [Location], [Date]

  2. [Poster Title]
    [Conference Name], [Location], [Date]

References

Available upon request.