Applied Mathematician & Scientific Machine Learning (SciML) Researcher
Modeling complex dynamical systems in biology, medicine and physics.
- 🔬 Research Interests: Applied Mathematics, ODE & PDE systems, Mathematical Biology, Mathematical Oncology
- ⚡ SciML & AI: Physics-Informed Neural Networks (PINNs), Neural Operators, Hybrid Physics-Data Models
- 🎵 Hobbies: Playing the traditional Turkish instrument Bağlama, Chess, and reading across diverse topics
Languages & Core Computing
Scientific Machine Learning & Deep Learning
GPU & High-Performance Computing
- 🇹🇷 Turkish — Native
- 🇬🇧 English — Professional working proficiency
- 📜 Latin — Reading (hobby)
- 🕌 Ottoman Turkish — Reading (hobby)
| Domain | Key Focus |
|---|---|
| Differential Equations | Formulating and solving high-dimensional non-linear ODE/PDE systems |
| Bio-Math & Oncology | Cell dynamics, population & disease modeling, tumor growth and treatment trajectories |
| SciML Paradigms | Combining PyTorch (PINA / DeepXDE) and Julia SciML for physics-constrained learning |
- 📧 Email: umuutbayri@gmail.com
- 🔬 ResearchGate: [https://www.researchgate.net/profile/Umut-Bayri]
Passionate about bridging mathematics, physics and machine learning to understand complex biological systems.