Research Faculty





Dr. Michael Mann is Assistant Professor of Geography and teaches classes on GIS, Python and R computing languages, and spatial modeling. His research has focused on the application of spatial data, and econometric techniques to forecasting of human/natural systems interactions. This has included modeling the economic determinants of deforestation in Brazil, forecasting housing development in California and economic losses due to wildfire, and agricultural modeling in Ethiopia. He also has interests in remote sensing, high performance computing, data visualization, and web mapping.





Dr. Tara M. Sinclair is an Associate Professor in the Department of Economics and Co-Director of the GW Research Program on Forecasting. Her research focuses on macroeconomic and labor market modeling and forecasting. She also serves as Chief Economist of the job site Indeed where she studies the labor market through data on millions of people searching for jobs online each month.





Dr. Chen Zeng is a Professor of Physics with specialization in statistical and computational biophysics. His research group works on designing proteins of new structure and function. He also develops theoretical techniques and computational tools for quantitative analysis and visualization of omics dataset for systems biology.






Dr. Nima Zahadat is a professor of information systems and computer science. He has taught at George Mason University and the George Washington University in the fields of information systems, engineering, data science, web development, and security. He has also held positions as Director of Security, Dean of Computer Science, Program Chair of Information Systems, and Director of Operations. Dr. Zahadat has worked extensively with public and private sectors throughout the years including the US Air Force, US Navy, Marine Corp., DHS, IRS, FAA, National Guard, and the Coast Guard.





Dr. Kevin D. Dayaratna is a lecturer in Mathematics and Data Science at The George Washington University and Senior Statistician and Research Programmer at The Heritage Foundation’s Center for Data Analysis (CDA) in Washington DC. An applied statistician, he has researched and published on the use of high-powered statistical models in public policy, medical outcomes, business, economics, and even professional sports. His primary research interests include Bayesian computation involving large data sets and high-dimensional problems. He has also consulted for a variety of organizations.





Dr. Amir Jafari is a Professional Lecturer of the GW DataScience Program. Amir earned a BS in Electrical Engineering from Azad University, an MS in Mechatronics from American University of Sharjah, and a PhD in Electrical and Computer Engineering from Oklahoma State University. He has conducted research in the areas of statistical modeling, neural network design, predictive modeling, and control systems for the last eight years. His research has encompassed a variety of application areas: signal processing, mechatronics, optimal and adaptive control, dynamic systems, neural network training, optimization, machine learning and deep learning. For the last years his research has focused on the use of neural networks for nonlinear filtering, prediction, clustering and modeling. Recently his focus is on deep learning network architectures, training big data on GPU, using neural network approach.





Dr. Faith Bradley is a Professor for Machine Learning and has exceptional knowledge of Public Policy. She leverages data and advanced analytics methods to study social phenomenon. Focusing on three main problem paradigms (prediction, modeling, and detection). Translates policy questions into paradigms. Interprets, evaluates, and applies results for policy analysis and decision making.





Mike Wolf is the Director of Business Intelligence for The George Washington University. He is the manager of the Business Intelligence Services team which is responsible for the development of the University Data Warehouse and GW's Enterprise Business Intelligence environment. The BIS team has won several awards for innovation and service delivery, and helps to support key decision makers by providing insight in GW's complex data landscape. Mike has been a member of the GW community for over 10 years and previously has worked for the BI company Cognos (now IBM Cognos) as well as a higher ed ERP vendor. Mike has a Master's Degree in Higher Education Administration from the College of William and Mary in Virginia.





Jelena Roljevic is an experienced business technology professional with a background in analytics, data governance, data management, enterprise architecture and program management. Ms. Roljevic is leading the George Washington University, Division of Information Technology (DIT), Office of Business Intelligence Service. As Assistant Vice President for Business Intelligence she is responsible for the university’s business intelligence, and data governance and integration, strategy and execution, resulting in numerous analytics solutions created to provide insight to academic and administrative decision makers necessary to drive the university forward.




Chris Mathew is an experienced software consultant, architect, manager, developer with more than 17 years of experience in big data, working with AWS (Certified Solutions Architect), Hadoop, Java, J2EE, and other web technologies. He has worked for various federal and commercial clients around the DC Metro area, and currently teaches visualization and web technologies as an adjunct professor at The George Washington University.