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