About

I'm Youngmin Ryou, a graduate student and AI researcher at KAIST VLLab. I believe the most impactful AI research comes from understanding why algorithms work, not just that they work. My approach is rooted in mathematical theory — probability, differential geometry, and algebraic structure — and directed toward designing algorithms that are fundamentally more scalable and efficient.

Ultimately, I want my research to matter beyond academia. My long-term goal is to build a startup that changes how the world works, and I see deep technical insight as the most durable competitive advantage in AI.

Research Interests

  • Generative Modeling with Diffusion & Flow-Based Models
  • World Models & Video-Based World Simulation
  • Efficient Algorithms for Deep Learning
  • Geometric Deep Learning & Graph Neural Networks

Education

M.S. in Computer Science

University Name · 2024 – Present

B.S. in Computer Science

University Name · 2020 – 2024

Skills

Languages

Python, C++, TypeScript, SQL

ML & AI

PyTorch, TensorFlow, JAX, Hugging Face, scikit-learn

Tools & Infrastructure

Docker, Kubernetes, Git, Linux, W&B, MLflow