About Me

I finished my Master’s in Computer Science at the University of Southern California(USC). I started at USC as a PhD student in Electrical and Electronics Engineering and worked in a brain computer interface(BCI) laboratory as a research assistant. I had worked at the intersection of statistical signal processing and control theory, aiming to develop models for large-scale brain networks during direct electrical stimulation. These models are ultimately designed to be used for control purposes in closed-loop BCI applications.

Prior to this, I received my B.S. in Electrical and Electronics Engineering at Bilkent University in 2019. I spent a summer as a Data Science Intern in Agency for Science, Technology and Research (A*STAR) in Singapore. I studied on the detection of epileptic seizures based on EEG data by using both traditional machine learning and deep learning approaches, and developed SeizNet.