Physics × machine learning

Abdullah Umut Hamzaoğulları

physics & computer engineering graduate with high honors at Boğaziçi University, Istanbul.

I study how machine learning can help uncover interpretable physical laws and theoretical structure from data.

Portrait of Abdullah Umut Hamzaoğulları

Research Interests

01

AI for Scientific Discovery

Physics foundation models, automating theory generation, interpretable physics models.

02

Theoretical & Computational Physics

Foundations of physics, quantum algorithms, relativity

03

Deep Learning & Symbolic AI

Transformer architectures, representation learning, and symbolic regression for interpretable models

04

Physics-Informed Machine Learning

Incorporating physical laws and symmetries into neural network architectures

Recent Publications

Learning Relativistic Geodesics and Chaotic Dynamics via Stabilized Lagrangian Neural Networks

arXiv preprint · January 2025