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Resume (English only)
Academic Achievements
Publications: D2E (Under Review), MIP-Bench (Under Review), PPMI (Accepted to Crypto 2025 Workshop), CANVAS (Accepted to ICRA 2025 and NeurIPS 2024 Workshop, Outstanding Paper Award), ESREAL (Accepted to ECCV 2024), CUPID (Accepted to ICDM 2024 Workshop). Awards: Outstanding Paper Award for CANVAS at NeurIPS 2024 Workshop.
Research Experience
Conducted research in the SNU Vision & Learning Lab and collaborated on multiple research projects with several professors.
Education
Undergraduate: Seoul National University, majoring in Computer Science. Working in SNU Vision & Learning Lab, advised by Prof. Gunhee Kim. Had the opportunity to collaborate on research projects with Prof. Yejin Choi at Stanford and Prof. Niloofar Mireshghallah, Prof. Akari Asai, and Prof. Graham Neubig at CMU.
Background
Research Interests: Intersection of machine learning, databases, and cryptography, including privacy-preserving machine learning, long-term memory systems, generalist imitation agents, vector databases, approximate nearest neighbor, multimodal data compression, homomorphic encryption, multi-party computation, and private information retrieval. Major: Computer Science. Vision: To develop a secure long-term memory system inspired by the human hippocampus that continuously collects, stores, and utilizes an individual’s lifetime of action data, aiming to create a generalist imitation agent that shares your memories and acts on your intent.