Agentic AI + Physics | UT Austin PhD
I work on language-model and agentic systems for complex, real-world problems.
My background spans data science, machine learning, optimization, robotics, physics-based modeling, and statistics. Much of my research has focused on combining physics-based and data-driven models, especially in fluid dynamics, automated operations, and autonomous systems.
I am especially interested in work that brings AI, robotics, and physical systems together.
- Language-model systems
- Agentic AI and multi-agent systems
- Search and retrieval
- Tool integration and workflow automation
- Applied machine learning
- Robotics and simulation
- AI + physics
- Optimization and statistical modeling
- PhD in Dynamic Systems and Control from The University of Texas at Austin
- Work across language-model applications, NLP, optimization, and MLOps
- Research in hybrid physics-based and data-driven modeling
- 10+ years as Associate Editor, overseeing peer review and editorial decisions for 250+ scientific manuscripts
- LinkedIn: https://www.linkedin.com/in/oneyerge
- Google Scholar: https://scholar.google.com/citations?user=x0tT7L4AAAAJ
- ResearchGate: https://www.researchgate.net/profile/Oney-Erge
Outside of AI: I grew up on 90s and early 2000s PC games and still go back to them. Some things just hold up.



