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Instructor Profiles

Leading Academic and Industry Experts

Instructor Search
Margret Bjarnadottir

Dr. Margrét Vilborg Bjarnadóttir

Dr. Margrét Vilborg Bjarnadóttir, Associate Professor of Management Science and Statistics at the University of Maryland and Founder and Chairwoman of PayAnalytics, specializes in operations research methods using large scale data; her research centers around data driven decision making, combining optimization modeling with data analytics.  In health-care Dr. Bjarnadóttir specializes in decision modeling using EMR and claims data. Her recent papers include: “Aiding the Prescriber” which focuses on risk modeling for improved opioid prescriptions and “Predicting Colorectal Cancer Mortality” which utilizes EMR and Cancer Registry data to build decision support tools. Examples of other applications include drug surveillance design, practice patterns and patient targeting.  Dr. Bjarnadóttir 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.

Statistics.com Instructor Since

2021

Education

PhD, MIT, Operations Research

Areas of Expertise

Algorithmic Bias Detection, Analytics, Biostatistics, Data Science, Interpretable Machine Learning, Machine Learning, Operations Research, Prediction/Forecasting

Publications

1. Katherine Bobroske,Christine Larish, Anita Cattrell, Margret Bjarnadottir, Lawrence Huan. 2020. The
bird’s eye view: a data-driven approach to understanding patient journeys from claims data”, JAMIA.
2. Margret V. Bjarnadottir, David Anderson, Kislaya Prasad, Ritu Agrawal, and Al Nelson. The Value of
Moderating Clinician Behavior in Opioid Prescribing: Evidence from a Simulation Model,” PharmacoEconomics.
3. David Anderson, Margret V. Bjarnadottir, Cristian Dezso and David Ross. 2019. On a Firm’s Optimal
Response to Pressure for Gender Pay Equity,” Organization Science, 30(1), 214-231.
4. Margret V. Bjarnadottir, David Anderson, Leila Zia and Kim Rhoads. 2018. Predicting Colorectal Cancer
Mortality: Models to Facilitate Patient-Physician Conversations and Inform Operational Decision Making,”
Production and Operations Management, 27(12), 2162-2183.
5. David Anderson and Margret V. Bjarnadottir. 2016. When Is An Ounce Of Prevention Worth A Pound
Of Cure? Identifying High-Risk Candidates for Case Management.” IIE Transactions on Healthcare Systems
Engineering, 6(1), 22-32.
6. Margret V. Bjarnadottir, Sana Malik, Eberechukwu Onukwugha, Tanisha Gooden, and Catherine Plaisant.
2016. Understanding Prescription Patterns Using Visualization of Large Scale Claims Data.” PharmacoEco-
nomics, 34(2), 169-79.
7. Joel Goh, Margret V. Bjarnadottir, Mohsen Bayati and Stefanos A. Zenios. 2015. Active Postmarketing Drug Surveillance for Multiple Adverse Events.” Operations Research, 63(6), 1528-1546.
8. Dimitris Bertsimas, Margr et V. Bjarnad ottir, Michael A. Kane, J. Christian Kryder, Rudra Pandey, Santosh
Vempala, Grant Wang. 2008. Algorithmic Prediction of Health Care Costs.” Operations Research, 56(6),
1382-1392.

Awards

Winner of the Best Newcomer and Best Social Impact Startup at the Icelandic Finals of the Nordic Startup Awards (2018)

Multiple Distinguished Teaching Awards, Robert H. Smith School of Business, University of Maryland (2015-2017)

Krowe Teaching Award, Robert H. Smith School of Business, University of Maryland  (2017)

Smith School of Business top 15% teaching award (2014)

 

Courses Taught

Predictive Analytics for Healthcare
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