Umit Celik

Umit Celik is an AI/ML Engineer and Applied Scientist at the Kenan Institute, where he develops data science, machine learning, and generative AI solutions to support economic, healthcare, and workforce policy initiatives. He has worked across academia and applied research, building production-ready models that leverage causal inference, NLP, and large language models. His recent projects include a RAG-powered chatbot for economic dashboards, a skills-matching engine, and AI-driven tools for analyzing tax policy impacts. Ümit holds a Ph.D. in Operations Management and Data Analytics from UNC Chapel Hill, where he focused on empirical operations management.