About the Instructors
Co-director, AI/ML for Business Leaders Program
Professor of Practice, Decision, Operations and Information Technologies
Suresh Acharya is a professor of practice at the Robert H. Smith School of Business. Acharya has spent nearly 25 years designing and building statistical and optimization solutions in the areas of supply chain management, retail planning, airline operations, logistics, and pricing and revenue management. As a practicing analytical professional and chief scientist of JDA Software, Acharya continues to work with Fortune 500 companies in delivering practical algorithmic solutions that demonstrate measurable customer value. Acharya teaches the capstone course for MSBA students and advises students on career options in analytics. He has a master’s in mathematical sciences from Clemson University and a master’s in operations research from the University of North Carolina.
Guodong (Gordon) Gao, MBA, PhD
Co-director, AI/ML for Business Leaders Program
Professor & Co-director of the Center for Health Information and Decision Systems
Guodong (Gordon) Gao is the director of the Health Insights AI Lab, the co-director of the Center for Health Information and Decision Systems (CHIDS), and professor at the Smith School of Business, University of Maryland, College Park. He received his PhD from the University of Pennsylvania, his MBA from the Tsinghua-MIT Sloan joint program, and bachelor’s degrees from Tsinghua University.
His research interests include big data and artificial intelligence (AI) in healthcare, health IT, and quality transparency. His work has been published in leading journals like Management Science, Information Systems Research, MIS Quarterly, Manufacturing and Service Operations Management (M&SOM), and Production and Operations Management. His work is also published or presented in the healthcare outlets, such as JAMA Internal Medicine, Journal of Medical Internet Research, International Health Economics Association Conference, as well as the American Society of Health Economists conference and AcademyHealth Annual Research Meeting.
Gao’s research has been profiled or featured in popular media such as the Washington Post, Wall Street Journal, NPR News, US News and World Report, and Reuters. He currently serves on the editorial board of Management Science. Gao co-organized the annual Conference on Health IT and Analytics (CHITA). He has won several teaching and research awards, including the Teaching Excellence Award at the Smith School and a CAREER Award from the National Science Foundation.
Liye Ma, PhD
Liye Ma teaches the undergraduate marketing research methods class and the data science class in the MS in Marketing Analytics program. His research focuses on the dynamic interactions of firms and consumers on internet, social media, and mobile platforms. His work has been published in various journals including Marketing Science, Journal of Marketing Research, Management Science, and Information Systems Research. He joined the marketing department in Fall 2011 after obtaining the PhD degree from the Tepper School of Business at Carnegie Mellon University.
Serhiy Kozak, PhD
Serhiy Kozak is an assistant professor of finance at Maryland Smith. Prior to that, he was an assistant professor of finance at the University of Michigan, Ross School of Business. His current research focuses on embedding economic and asset pricing restrictions into machine learning methods to study the dynamics of asset prices. Kozak earned his PhD at the University of Chicago in 2013.
Margrét Bjarnadóttir, PhD
Margrét Vilborg Bjarnadóttir is an associate professor of management science and statistics in the DO&IT group. 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 research centers around data-driven decision making, combining optimization modeling with data analytics. Her work spans applications in health care, finance, people analytics and sports!
In health care, 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.
The focus of her people analytics work is on algorithmic studies of demographic pay-gaps, including the best approaches to remedy the pay-gap problem taking into account both equity and economics. In her recent paper “On a Firm's Optimal Response to Pressure for Gender Pay Equity” she highlights some of the unintended consequences of pay-gap legislation.
In finance, Bjarnadóttir studies complex networks. Her prior studies include analysis of nationwide cross-ownership patterns and systemic risk. More recently she and her co-authors are studying the complex financial supply chains behind financial products.
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.