Gergely Mathe Email & Phone Number

Budapest, HU

Budapest, Hungary

Responsible for designing, developing, deploying, and maintaining AI and machine learning solutions to optimize and streamline workplace processes. By leveraging the power of generative AI, custom solutions based on Large Language Models (LLMs) are created, utilizing techniques such as Retrieval-Augmented Generation (RAG).

Budapest, Hungary

-Artificial intelligence and machine learning research scientist-Previously engaged in high-resolution image segmentation using unsupervised vision transformer-based architectures for space weather monitoring.

Oxford, England, United Kingdom

-Computational astrophysicist-Conducted extensive simulations of Vector Resonant Relaxation employing both Markov Chain Monte Carlo and direct symplectic integration methods. The former approach achieved unprecedented coverage of the parameter space, while the latter revealed exotic states exhibiting unexpected entropy signatures.

Budapest, Hungary

-Computational astrophysicist-Previously developed an alternative mean-field theory for Vector Resonant Relaxation (VRR), integrating Tsallis entropy to explore non-extensive statistical mechanics within astrophysical systems. This work involved comprehensive numerical cross-validation of the proposed mean-field theory on high-performance computing (HPC).

Doctor Of Philosophy - Phd, Astrophysics

-machine learning adapted space weather monitoring- Was working on space weather monitoring by utilizing unsupervised, high-precision.

Master Of Science - Ms, Physics, Outstanding

-numerical exploration of the equilibrium distribution of Vector Resonant Relaxation (VRR) in galactic nuclei- Conducted a comprehensive.

Bachelor Of Science - Bs, Physics, Excellent

-numerical and analytical investigation of quark-gluon plasma's geometry- Developed and implemented a novel analytical model that.