About Me

I am a Ph.D. student at the School of Computer Science at Carnegie Mellon University, advised by Carl Kingsford. Previously, I earned my M.Sc. in Computer Science at Bilkent University under A. Ercument Cicek, and my B.Sc at Bogazici University.

My research sits at the intersection of machine learning, optimization, and computational biology. I build reinforcement learning models for RNA sequence optimization and mRNA design. I also develop generative models for synthetic electronic health record (EHR) data to enable robust training and evaluation under severe label imbalance. I design biologically informed neural networks and hybrid models that combine mechanistic simulation with deep language models to tackle complex problems such as genomic sequence understanding and ribosome dynamics. More broadly, I am interested in AI for science and medicine, with an emphasis on interpretable models, realistic benchmarks, and open-source tools that other researchers can build on.