Assistant Professor, Operations Management
My current data science research interest lies in the broad area of supply chain and its management. I am particularly interested in using longitudinal data set to identify early signals (or warning) and to draw causal inferences pertaining to supply chain security and product quality and safety. I am also interested in developing experiments to capture the behavioral side of decision makings to be complementary to secondary data analysis. Industry setting wise, I have based my research on the auto industry, and will expand my auto-industry centered research into a broader, transportation industry oriented context. I am also interested in food and agricultural products, pharmaceutical, and medical devices industries where product quality and safety have significant implications to human life and society as a whole.