Melike Hazal Can is a Postdoctoral Research Fellow in the Department of Global Health and Population at the Harvard T.H. Chan School of Public Health. Her current work focuses on the modeling of tuberculosis (TB) care cascade and diagnostic algorithms. She holds a BA in Economics and also has a BS and an MS in Industrial Engineering.
Prior to joining Menzies Lab, she completed her PhD in Industrial Engineering at Northeastern University, where she received another MS in Operations Research. During her graduate studies, she has utilized mathematical modeling, statistics, and simulation analysis to optimize healthcare operations in collaboration with health facilities and universities. Her dissertation focused on the applications of machine learning methods in breast cancer treatment.
Her research interests include machine learning, mathematical modeling and optimization, applied statistics, and simulation modeling.