Summary
Çerağ Oğuztüzün is a computer scientist and Graduate Research Assistant at Case Western Reserve University who builds AI methods at the intersection of graph machine learning, knowledge graphs, and genomic language models to advance precision drug repurposing. With eight years of experience spanning academic research and industry R&D stints at organizations like Foundation Medicine, Janssen, and Seven Bridges, he combines domain knowledge in molecular biology with deep ML expertise. His work asks a practical question rarely tackled end-to-end: how to adapt population-trained models to the biology of an individual so predictions are personalized rather than averaged. He has hands-on experience deploying agentic workflows and generative models for performance modeling of AI workloads, showing comfort across both algorithmic research and engineering. Based in Cleveland, Çerağ is pursuing a PhD in Computer Science while translating computational abstractions into biologically actionable insights. An uncommon strength is his bilingual training in computer engineering and molecular genetics, which lets him bridge code and wet-lab thinking when designing models.
8 years of coding experience
2 years of employment as a software developer
METU Development Foundation Schools
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Case Western Reserve University
Computer Engineering, Computer Engineering at Bilkent University
Turkish, English, French