Margret Bjarnadottir

Margrét Bjarnadóttir

Margrét Vilborg Bjarnadóttir is an associate professor of management science and statistics in the DO&IT department. Bjarnadóttir graduated from MIT's Operations Research Center in 2008, defending her thesis titled "Data-Driven Approach to Health Care, Application Using Claims Data". Bjarnadóttir specializes in operations research methods using large scale data. Her work spans applications ranging from analyzing nation-wide cross-ownership patterns and systemic risk in finance to drug surveillance and practice patterns in health care. She has consulted with both health care start-ups on risk modeling using health care data as well as governmental agencies such as a central bank on data-driven fraud detection algorithms.

Maryland Smith’s Raghavan Heads NSF Research on Illicit Drug Trafficking

Maryland Smith’s S. Raghu Raghavan is the principal investigator for a five-year National Science Foundation collaborative research award worth nearly $1 million to look into drug cartels: Discovery, Analysis, and Disruption of Illicit Narcotic Supply Networks. As transnational drug cartels continue to grow in size and scope, their trafficking networks have become more complex and fragmented. This project takes a multidisciplinary, scientific approach to build better insight and optimization of U.S. counternarcotics efforts. The researchers will refine analytic methods to develop an understanding of the network structure and models of the flow of cocaine. The research will support the disruption strategies of anti-narcotics and other law enforcement agencies.

Data Science, Machine Learning and the Looming Shakeup

SMITH BRAIN TRUST – Data science and machine learning are revolutionizing organizations, businesses, even private lives – and not all of the changes are good ones. “The voices that caution about the potential pitfalls of machine learning, including bias and unequal share in the benefits, are growing louder, says Maryland Smith’s Margrét Bjarnadóttir. “And this is especially important in healthcare.”

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