Biography

Research Interests: Biomedical engineering and cancer research; machine learning, bayesian statistics, tumor heterogeneity, clonal evolution, statistical analysis, machine learning, computational biology, genomics

Burcu's interest is in implementing statistical methods and machine learning models to find quantitative insights in clinical and high throughput biological data, which provides evidence-based strategies to improve patient care. Upon completing the MD/PhD program at OHSU, she will combine her quantitative training with biological and clinical knowledge to create solutions to biomedical and clinical problems as a physician researcher.

She holds a BSc in Statistics from Middle East Technical University, and an M.A. degree in Statistics from Columbia University. Upon graduating, she worked at the United Nations, New York, and at Nielsen as a statistical modeling analyst, as well as at Cornell Medical College and Columbia University Hospital as a biostatistical researcher. She was also teaching statistics at the New Jersey Institute of Technology before joining Oregon Health and Science University.