CV

Semester Project

ETH Robotic Systems Lab

• Conducted semester project on whole-body tactile sensing for reinforcement learning-based dynamic locomotion on the ANYmal quadruped robot.

University Research Assistant

ETH Computational Robotics Lab

• Research on spatio-temporal motion retargeting (STMR) and whole-body control for humanoids.
• Integrating sampling-based MPC and MPPI methods using GPU-parallelized physics simulation (MuJoCo) for kino-dynamically feasible motion generation from keypoint trajectories.

University Research Assistant

ETH Computational Robotics Lab

Diversifying gait patterns using unsupervised skill discovery, and RL-based multi-gait locomotion for an interactive media art exhibition.

• Implemented unsupervised skill discovery methods with discrete latent variables (inspired by DIAYN & DISDAIN) and continuous latent variables (ASE, METRA) to encode skills into a latent space for control.
• Trained a policy that allows for controlling height, gait patterns, pitch angle, and feet width in quadruped locomotion.
• Developed and deployed a reinforcement learning-based locomotion controller producing expressive gait patterns, used live in the AATB artistic studio’s exhibition.
• Gained experience with IsaacLab, Python, ROS2, and reinforcement learning.

University Research Assistant

KAIST Humanoid Generalization Lab

• Designed a hierarchical MCTS algorithm that conducts MCTS search in hierarchy.
• Implemented the algorithm and applied it to a simple toy domain, a maze domain, and a task and motion planning domain.

University Research Assistant

KAIST Programming Language Research Group

• Conducted research on “JavaScript and Test262 improvements and engine bug detection using automatically generated test cases” as part of the Undergraduate Research Program (URP).
• Developed code to automatically test JavaScript engines with Test262 test cases using Scala and check whether failing cases are covered by the Feature Sensitivity Coverage standard in Test262.
• Gained experience with Rust, Scala, Java, and OCaml.

M.S.

ETH Zurich

Robotics, Systems, and Control

• Robotics and control systems (motion planning, whole-body control, legged locomotion, quadruped robots)
• Reinforcement learning and optimal control (deep RL, model predictive control, sampling-based MPC, MPPI)
• Machine perception and computer vision (SLAM, vision-language-action models)
• Physics-based simulation and deployment (MuJoCo, IsaacLab, ROS2, GPU-parallelized environments)
• Spatio-temporal motion retargeting and kino-dynamically feasible motion generation from keypoint trajectories

B.S.

Korea Advanced Institute of Science and Technology (KAIST)

Computer Science & Electrical and Electronic Engineering

• Computer science fundamentals (algorithms, data structures, operating systems, computer networks, math)
• Programming languages and formal methods (language specification, compiler design, automated test generation, engine bug detection)
• Artificial intelligence and machine learning (deep learning, computational learning theory, reinforcement learning)
• Robotics and planning (hierarchical MCTS, task and motion planning, long-horizon problem solving)
• Systems programming (Rust, Scala, OCaml, socket programming, TCP/IP implementation)
• Research experience in program analysis and robotic manipulation planning

Exchange Student

ETH Zurich

Department of Computer Science

• Robotics and control systems (legged locomotion, reinforcement learning, motion planning)
• Machine learning and probabilistic AI (machine perception, probabilistic artificial intelligence)
• Research in unsupervised skill discovery and diversified gait pattern generation for quadruped robots
• Semester project in deep reinforcement learning (grade 6.0/6.0)

Visiting Student

UC Berkeley

Summer Session

• Attended on a full scholarship awarded through the KAIST Presidential Fellowship (KPF)
• Coursework in Game Theory

Teaching Assistant — Planning and Decision Making for Robotics

ETH Zurich

Teaching Assistant — Linear System Theory

ETH Zurich

Winner, Robot Competition — ETH Robotics Summer School

ETH Zurich RobotX

Won the robot competition at the 2026 ETH Robotics Summer School with team 38° of Freedom, building an autonomous navigation stack (state estimation, terrain analysis, and FAR Planner-based long-range planning) for a quadruped robot.

Korea Presidential Science Scholarship

Korea Student Aid Foundation

National merit-based scholarship awarded by the Korean government to top science and engineering undergraduates, covering full tuition.

KAIST Presidential Fellowship (KPF)

Korea Advanced Institute of Science and Technology (KAIST)

Prestigious institutional fellowship for top-performing KAIST students, including funded study abroad at UC Berkeley.

Korea Foundation for Advanced Studies (KFAS) Scholarship

Korea Foundation for Advanced Studies (KFAS)

Selective scholarship for high-achieving university students with strong research potential in science and technology.

Hanseong Nobel Youngsoojae Scholarship

Hanseong Foundation

Merit-based scholarship recognizing outstanding academic achievement during high school.

College of Engineering's Dean's List

Korea Advanced Institute of Science and Technology (KAIST)

Samsung HumanTech Paper Award (High School Division), Gold Prize

Samsung Electronics

Gold Prize for research on a graph kernel algorithm for compound property prediction. Nationally recognized research competition organized by Samsung Electronics.