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a unified data-driven abstraction framework. This approach decouples high-fidelity ground truth generation from runtime execution to resolve the fidelity-tractability trade-off.
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**Research Interests:**
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- Physics-based Simulation
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- Soft Robotics & Deformable Body Simulation
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- Tactile Sensing & Haptic Feedback Systems
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- Physics-Based Machine Learning
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- Robot Learning & Manipulation
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- Tactile Sensing
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- Contact Rich Manipulation
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**Education:**
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-**Ph.D. Candidate** (Expected 2026) - Mechanical Engineering, Seoul National University
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-**M.S.** - [Add your Master's degree info]
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-**B.S.** - [Add your Bachelor's degree info]
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## Research Projects
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