I am a master’s student at TUM particularly interested in geometric deep learning and their application in natural sciences. I am currently developing physics-inspired neural networks for turbulent flows. I have studied Graph Neural PDEs and tested them in protein prediction task. I am also author of three papers on software architecture recovery.
I am eager to contribute to deep learning and natural sciences by pursuing a Ph.D. I believe that my industry experience and academic background will make me a valuable asset to the academic community. I am excited to collaborate with leading experts in the field.
MSc in Computer Science
Technical University of Munich, DE
BSc in Computer Science, 2022
Özyeğin University, Türkiye
Non-Degree Exchange Student, 2021
Oregon State University, USA
Assisted with preparing course material, conducting tutorials, delivering office hours.