UMD

Margrét Bjanadóttir

Margrét Bjanadóttir

Prof. Bjarnadottirs's research focuses on operations research methods building on large scale data. Her work spans applications ranging from analyzing nation-wide cross-ownership patterns and systemic risk in finance to prediction modeling, drug surveillance and practice patterns in health care. Dr. Bjarnadóttir has consulted and worked for a number of health care start-ups, the parliamentary appointed Special Investigation Commission into the Banking Crash in Iceland as well as the Central Bank of Iceland where she focused on capital control fraud detection in the post-crash era.

Amol Deshpande

Amol Deshpande

Prof. Deshpande is an Associate Professor at the Department of Computer Science, University of Maryland. His research has spanned a spectrum of big data topics including scalable data science, graph data management, data uncertainty, cloud computing, database query optimization, adaptive query processing, data streams, and wireless sensor networks. His current research efforts are focused on building a collaborative data science platform, developing a graph data management system, and investigating a variety of issues in uncertain data management.

Anand Gopal

Anand Gopal

Dr. Anandasivam Gopal is an Associate Professor and Van Munching Faculty Fellow at the Robert H. Smith School of Business, University of Maryland.  Anand Gopal's research focuses on the use of large datasets and text analysis in addressing economic questions of interest in the IT industry, retail sector, and entrepreneurship. He combines data analytics with econometrics and statistics to address questions like firm survival, competition, venture capital investments, and firm performance. He collaborates with firms in the retail, e-commerce, software, and services outsourcing sectors. He has a Ph.D in information systems and economics from Carnegie Mellon University.

Joseph A. Langsam

Joseph A. Langsam

Joseph A. Langsam is a Policy Fellow in the Center for Financial Policy of the University of Maryland’s Smith School of Business, which he joined in 2010. He spent the previous 25 years at Morgan Stanley Dean Witter, where he was responsible for analytic research and the valuation of derivatives. Dr. Langsam received a Ph.D. in mathematics from the University of Michigan in 1982 and a Ph.D. in urban studies with a concentration in economics from the Massachusetts Institute of Technology. Prior to joining Morgan Stanley Dean Witter, he was an assistant professor of mathematics at Case Western Reserve University. He is co-editor (with Jean-Pierre Fouque) of the landmark 2014 volume, Handbook on Systemic Risk.  He was appointed to the Board of Mathematical Sciences and Their Applications in 2014.  Dr. Langsam's research interests are focused on the development of analytics for monitoring and managing both financial institutional risk and systemic risk.  

Shawn Mankad, UMD Site co-Director

Shawn Mankad, UMD Site co-Director

Prof. Mankad's research focuses on using data analytics to facilitate better decision-making. Specifically, he aims to create and apply data mining, machine learning, and visualization for financial and economic modeling with unstructured and complex structured data. He was a consultant with the U.S. Commodity Futures Trading Commission and also worked at the Federal Reserve Board on characterizing market activity with visual analytic tools. 

Douglas Oard

Douglas Oard

Douglas Oard is a Professor at the University of Maryland, College Park, with joint appointments in the College of Information Studies (Maryland’s iSchool) and the University of Maryland Institute for Advanced Computer Studies (UMIACS).  He earned his Ph.D. in Electrical Engineering from the University of Maryland and his research interests  center around the use of emerging technologies to support information seeking by end users.

Louiqa Raschid, Center co-Director, UMD Site Director

Louiqa Raschid, Center co-Director, UMD Site Director

Prof. Raschid has made pioneering contributions towards meeting data integration, data management, and data mining challenges in multiple domains. She is leading an effort sponsored by the NSF and the CRA Computing Community Consortium (CCC) to develop community financial cyberinfrastructure and to create a data science for finance research. As part of this effort, she collaborates with JPMorgan Chase, State Street, Bank of America, IBM, and  Wells Fargo.

Siva Viswanathan

 Siva Viswanathan

Dr. Siva Viswanathan is an Associate Professor at the Robert H. Smith School of Business, University of Maryland, and a Co-Director of DIGITS - the Center for Digital Innovation, Technology, and Strategy. Prof. Viswanathan's research focuses on business intelligence and predictive analytics and their transformative potential in sectors such as financial services, consumer retailing, auto-retailing, telecom, and advertising, among others. His current work focuses on online crowdfunding and crowdsourcing platforms, and engineering online social platforms to enable firms leverage social contagion. Prof. Viswanathan’s research has appeared in top academic journals and he has also been actively engaged in consulting and research with a number of leading organizations including Adobe, LivingSocial, Facebook, Efficient Frontier, A9, Amazon, HomeDepot, J.D.Power, and Infosys, among others