About me

Welcome!

I am a 3rd year Ph.D. student in the Computer Science and Engineering department at UC San Diego. I am lucky to be advised by Prof. Rose Yu. My research focuses on safe offline reinforcement learning for weaning of medical support devices. I also develop time series forecasting models as patient digital twins. If you’re curious about how different families of generative density models guide offline RL, check out our latest work accepted to NeurIPS 2026!

I graduated from Bilkent University with a B.S. degree in Electrical and Electronics Engineering. I was a Machine Learning Researcher in Prof. S. Serdar Kozat’s research group. During my undergraduate studies, I have worked on time series forecasting, data science, and signal processing. Specifically, my work involved designing cutting-edge algorithms for time series and spatiotemporal prediction in high-dimensional spaces. Here is a preprint that I first-authored on this topic.

The latest version of my CV can be found here.