About

My research and teaching interests are at the intersection of analytics, operations, and supply chain management. I analyze both business and societal problems. 

For example, I have worked on how to model illegal drug supply chains and examined how one can disrupt them using limited resources. Our approaches consider interconnected nature of the operations as well as the uncertainty in the links between criminals (i.e., we may not know about all of the existing relationships). I am currently working on IUU (Illegal, Unreported, Unregulated) Fishing, which is another major societal problem that I analyze using analytical tools. 

Another societal impact my research aims to make is in the area of sustainable supply chain design. I am currently focusing on the apparel industry and developing models to reduce waste in a closed-loop supply chain setting. My co-authors and I are using both optimization models and Markov Decision Process approaches to address our research questions.

Finally, I am also interested in how digitalization impacts operations and supply chains. I have published studies focusing on how firms transform their operations and how increased visibility (or, supply chain collaboration) can improve overall performance.

In terms of teaching, I teach INFO 4120 Python Programming and INFO 2020 Analytics III at DU, and taught QM 880 Business Analytics: Spreadsheet Optimization and Simulation, BA 472 Business Experiments and Causal Methods, QM 323 Analytics, and BA 222 Modeling Business Decisions and Market Outcomes with Spreadsheets and Statistical Programming at BU. During my time at SU, I taught courses in Data Analysis for Business and Quantitative Methods at the undergraduate level, and Business Analytics and Operations & Supply Chain Management at the graduate level. I also had curriculum and course development experience in Business Analytics at SU.