🧑🏻‍💻 ****Work Experience

Machine Learning Engineer in Robotics Team at Samsung Electronics

GEMS Lab, Samsung Research (SR), Seoul, Korea Feb 2020 - Present

Mechatronics Lab, Samsung Advanced Institute of Technology (SAIT), Suwon, Korea May 2019 - Jan 2020

• Machine Learning and Deep Learning Innovations in Wearable Robotics
  • Led the integration of cutting-edge DL models for gait parameter estimation and the assessment of interventions.
  • Utilized advanced DL techniques to analyze user interactions and physiological data for product enhancement and business planning
  • Developed firmware across multiple platforms to enable module communication in wearable robot prototypes.
• Reinforcement Learning and Simulation for Control Optimization of Wearable and Humanoid Robots
  • Developed control algorithms using musculoskeletal simulations and RL to boost target muscle strength and improve product effectiveness.
  • Working to enhance humanoid locomotion by closing the sim2real gap, using playback of real robot data in simulations to refine control algorithms.

🛠️ Skills

Deep Learning 🧠

Skilled in optimizing machine learning models, including sequential and multimodal models, for data analysis and control systems to boost efficiency and performance.

Python PyTorch

Robotics 🤖

Experienced in development of wearable and humanoid robots, focusing on improving product effectiveness and user experience.

ROS YARP Embedded Programming Matlab

Data Analysis 📈

Skilled in driving product development with insights from statistical analysis to deep learning, and adept at analyzing and visualizing user data.

EDA Data Visualization Social Science Research Methods Statistical tools

🎓 Education

PhD, School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Korea 🇰🇷 Sep 2013 - Feb 2019

• Dissertation: Visuomotor Learning for Achieving Cognitive Robot Behaviors: a Dynamic Neural Network Approach