Research and engineering

I develop AI systems and computational workflows for materials research. My work covers agentic systems, representation-based materials screening, electronic-structure calculations, and machine-learned interatomic potentials. I am pursuing an M.S. in Computer Science with a Machine Learning specialization at Georgia Institute of Technology as a Fulbright Scholar.

At Microsoft Türkiye, I worked as an AI Engineer in the Solutions Team on agentic AI and Azure-based solutions, with related work in data workflows and automation.

I completed B.S. degrees in Chemistry and Computer Engineering and a minor in Physics at Koç University, graduating as a Class of 2026 Valedictorian with a 4.00/4.00 GPA. My valedictory addressis available online.

Technical descriptions, figures, and archival links are provided on the Research and Publications pages.

Current manuscripts

Enrichment-driven discovery of low-band-gap metal–organic frameworks — Under peer review.[Research][GitHub]
Capturing Nuclear Quantum Effects in Hydrogen Diffusion through MoS₂ via Machine-Learning-Enhanced Path-Integral Simulations — Under peer review · arXiv v2.[Research][Preprint]