The George Mason University Data Analytics Engineering (DAEN) masters program in the Volgenau School of Engineering is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Topics cover data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. Aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business intelligence, and other information-intensive groups generating and consuming large amounts of data, the program also has wider applications, including concentrations in digital forensics, financial engineering, and business analytics.

Professor of Information Technology (and Data Scientist) at the Northern Virginia Community College (NVCC) Manassas campus teaching introductory/advanced IT courses. Current research interests include Data Science education, Big Data Analytics, R, Python, and Data Visualization. NVCC representative to the Northern Virginia Technology Council (NVTC) Big Data and Analytics committee.

Teach Information Technology coursework in the areas of Networking, Computer Concepts and Applications, Systems Architecture, Virtualization and Cloud Computing.

Develops organizational IT strategy for the Vice President of Information Technology in the areas of Business Continuity, Disaster Recovery, Telecommunications, Virtualization, and Information/Corporate Security.