I am a Ph.D. student in the department of Electrical Engineering at Stanford University, where I am advised by Prof. Mert Pilanci. I was also a research intern at Salesforce Research throughout Summer 2021.

My main research interests are in optimization and deep learning. Currently, I focus on the understanding of neural networks through the lens of convex optimization. Previously, I also developed efficient second order randomized algorithms to train neural networks.

Prior to joining Stanford, I obtained B.S. and M.S. degrees in Electrical and Electronics Engineering from Bilkent University in 2016 and 2018, respectively, where I worked with Prof. Suleyman Serdar Kozat.

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(Fall 2019, 2020, 2021) EE269, Signal Processing for Machine Learning, TA
(Winter 2020, 2021) EE270, Large Scale Matrix Computation, Optimization and Learning, TA
(Spring 2020, 2021) EE364B, Convex Optimization II, TA
(Fall 2016, 2017, Spring 2018) EEE424, Digital Signal Processing, TA
(Spring 2018) EEE102, Introduction to Digital Circuit Design, TA

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