About Me

I am a Ph.D. student in Electrical and Computer Engineering at the University of Michigan, advised by Prof. Inigo Incer. My research sits at the crossroads of convex optimization, machine learning, signal processing, and the compositional design and verification of complex engineering systems. I am a proud member of the Complex Engineering Systems Laboratory, where we develop rigorous theory and methodologies to design, verify, and analyze complex systems, applying tools from control, formal methods, AI, optimization, and more, with real-world applications in aerospace, autonomous vehicles, and synthetic biology.

Before Michigan, I earned my B.S. in Electrical and Electronics Engineering from Bilkent University. During my undergrad, I gained hands-on experience conducting research at Bilkent University and EPFL, working on projects ranging from radar systems to neural network-based algorithms. A recent highlight of my work is a first-author paper on a unified screening strategy for multiple diseases, which was accepted at the International Conference on Machine Learning (ICML) 2025. You can find more details about my academic background and research on my Bio and Publications pages.

My goal is to bridge rigorous mathematical and algorithmic tools with impactful real-world problems, designing methods that advance both theory and practical solutions, particularly in medical decision-making and intelligent systems. Please feel free to reach out anytime!

Research Interests

Last updated: July 2025