I am a M.S. student at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jaegul Choo. Prior to this, I received my B.S. degree in Computer Science and Mathematics. My ultimate research goal is to contribute to the development of Artificial General Intelligence (AGI) capable of learning from minimal data and solving complex, real-world tasks that remain challenging for current AI models. Specifically, my recent research interests focus on the following areas:

• Scalable & Sample-Efficient Deep Reinforcement Learning: Designing efficient RL architectures that can scale with larger networks and increased computational resources.
• Generative Modeling with Limited Data: Designing algorithms that can learn/adapt generative model effectively in low-data regimes (e.g. Personalization)

Drawing from my experience in these domains, I aim to further advance data-efficient, generalizable learning approaches and apply them to robotics and real-world embodied AI.

Publications

Work Experience

Education

• Korea Advanced Institute of Science and Technology (KAIST)

  [Aug. 2024 - Present]
  M.S. Student in Artificial Intelligence
  • GPA: 4.24 / 4.30


• Korea Advanced Institute of Science and Technology (KAIST)

  [Mar. 2020 - Aug. 2024]
  B.S. degrees in Computer Science and Mathematics
  • GPA: 4.03 / 4.30 (Summa Cum Laude)

Awards & Honors

• KAIST Dean's List Award

  [Fall 2022, Spring 2023]
  Awarded to the top 3% of academic performance in KAIST
• KAIST Presidential Fellowship
  A program that supports a small number of top students to grow as future global leaders in science and technology

Teaching

• Teaching Assistant
  
  • CS101: Introduction to Programming, Spring 2024