I’m pursuing my M.Sc. in Applied & Engineering Physics at the Technical University of Munich, with a B.Sc. in Physics Engineering from Istanbul Technical University. My work lies at the intersection of computational physics, space systems, and modeling where algorithms meet the physical laws governing matter and energy.

I’ve applied machine learning to high-energy physics (missing trasverse energy detection with CMS at CERN) , space weather forecasting using NASA satellite data in Istanbul Technical University , and semiconductor simulations (EPR in ZnO) in Sabanci University. I have  programming experiences in Python, C++, and scientific computing tools (Fortran, ROOT, LabView, EasySpin, Apache Spark), I build data-driven models to decode structure in physical systems — from particle interactions to astrophysical processes. 

My academic journey energy systems and computational physics — unified by a drive to extract insight from complexity.