Curriculum Vitae
Education
Massachusetts Institute of Technology (MIT)
Advisor: Prof. Sertac Karaman
Korea Advanced Institute of Science and Technology (KAIST)
Advisor: Prof. Han-Lim Choi
Seoul National University (SNU)
Research Experience
Autonomy and Embedded Robotics Accelerated Lab, MIT
Researched uncertainty quantification and compression for generative models to improve reliability and efficiency in robotics applications, including vision-language-action (VLA) models and world models.
Designed a robust visual-inertial navigation system and an active perception framework leveraging uncertainty-aware learning-based representations.
Built large-scale urban scene reconstruction pipelines using neural scene representations.
Autonomous Decision and Control Lab, CU Boulder
Collaborated with Prof. Zachary Sunberg on developing decision-making algorithms for task planning under uncertainty.
Laboratory for Information and Control Systems, KAIST
Proposed a 3D dynamic occupancy grid mapping algorithm with LiDAR based on Dempster–Shafer evidential theory.
Developed an optimal trajectory planning algorithm and a safety-guaranteed control method for agile multirotor flight.
Seoul National University
Implemented an autonomous surface cleaning system using a 6-DOF robot manipulator under the supervision of Prof. Sung-hoon Ahn.
Fellowships & Scholarships
- MathWorks Mechanical Engineering Fellowship, MathWorks (2024–2025)
- Korean Government Scholarship, South Korean Government (2023–2025)
- Government-Funded Scholarship, KAIST (2021–2023)
- SNU Alumni-Funded Scholarship, SNU Alumni Foundation (2020)
- Merit-Based Scholarship, SNU (2015–2017)
Awards
- Outstanding Award, SNU ME Materials and Manufacturing Process Course (2019)
- Excellence Award, I·Seoul·U Hackathon, Administration of Seoul (2016)
- Creative Award, SNU ME Creative Engineering Design Course (2015)
Teaching
16.S690 / 6.S080 — Teaching Assistant
Professional Activities
- organizer — IROS 2026 Workshop on Rethinking Uncertainty for Modern Robotics Paradigms, RSS 2023 Workshop on Inference and Decision Making for Autonomous Vehicles (IDMAV)
- Reviewer — T-RO, NeurIPS, ICML, RA-L, L-CSS