I am an Assistant Professor in the School of Systems and Enterprises  at the Stevens Institute of Technology and Associate Director of the Center for Complex Systems and Enterprises. The long-term goal of my research is to leverage computational modeling to enable policy makers, decision makers, and engineers to cope with the complexity of modern societal and technical challenges and make informed decisions in areas such as healthcare, education, and national defense.

The increased inter-connectivity and autonomy of technology has resulted in rapid interactions among people and technology that decentralize decision-making. These circumstances challenge the ability of policy makers and engineers to keep pace.  To further complicate matters, the knowledge and data that could aid them is scattered across incompatible repositories that makes it challenging to find, integrate, and analyze.

One possible solution to this problem is to apply a mixture of computational modeling and machine learning to compose diverse models and data sets to rapidly generate a spread of future scenarios. However, understanding what factors drive the feasibility of combining computational models from different domains to answer engineering design and policy questions remains an open challenge.  My current research efforts are aimed at addressing that challenge.

Prior to joining Stevens I worked as a senior systems engineer in various lead technical roles for the Northrop Grumman Corporation. My experiences ranged from integrating information systems to architecting large-scale systems of systems. These experiences have enabled me to ground my research and teaching activities with a first-hand understanding of real world technical and organizational challenges. My educational background includes a Ph.D. in Industrial Engineering from the Georgia Institute of Technology and Bachelor’s and Master’s degrees in Systems Engineering from the University of Virginia.