At the center of my research are data‐driven analytical models, which are indispensable tools for studying complex decision making problems in Business. I believe that only a careful analysis of data accompanied with meticulous decision analytical modeling can deliver solutions that are both insightful and practically relevant. Generally speaking, I am interested in exploring the innovative combinations of Data Sciences and Operations Research methodologies and their applications to managerial decision making problems.
As a researcher, my overarching goal is to develop theoretical tools and approaches to advance the frontiers of Data Sciences and Operations Research and to apply these methods to practically relevant problems. The methodological scope of my research is quite broad, ranging from Mathematical Modelling and Optimization, Simulation, Queueing Theory to Data Analysis techniques. In terms of application, my research so far has explored different areas of Healthcare Operations, Services and Policy Management. I have been developing decision analytical models that support health policy makers, healthcare managers, health professionals, and patients in making better decisions that lead to better health outcomes. Even though most of my research has been in the field of healthcare, the methodologies I have used and developed have the potential to be applied to other areas of Operations Management and Business Analytics.