Subin Park.
Undergraduate at Yonsei University, double majoring in Computer Science and Mathematics, with research interests in NLP, reinforcement learning, and foundation models.
Now
I am pursuing a B.S. at Yonsei University, double majoring in Computer Science and Mathematics. My coursework spans software engineering, computer systems, deep neural networks, mathematics for deep learning, probability and statistics, text mining, and cognitive neuroscience.
I am an Undergraduate Researcher at the Decision Making Intelligence & Learning Lab, advised by Prof. Jongmin Lee. I am leading research on Offline Direct Multi-Preference LLM Alignment via RLHF and participating in research on RL foundation models for world modeling.
You can reach me anytime at enlightkorean@gmail.com.
Interests
AI & Machine Learning
NLP, reinforcement learning, and foundation models, viewed through computer science, mathematics, and cognitive neuroscience.
Natural Language Processing
LLM alignment, transformer-alternative architectures such as Mamba and Titans, and LLM reasoning.
Reinforcement Learning
Offline RL, sequential decision-making problems, data-efficient RL, and RLHF for preference alignment.
Research Foundations
Mathematics, linguistics, and cognitive neuroscience as tools for studying intelligence.
Timeline
Goals
Research. Study the fundamental question of whether machines can think by grounding intelligence in mathematics, linguistics, and cognitive neuroscience.
Alignment and reasoning. Build better language-model alignment methods, reasoning systems, and foundation models for sequential decision making.
Implementation. Keep research tied to working systems through PyTorch, HuggingFace, reinforcement learning, and careful evaluation.