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Reducing the Impact of Infectious Diseases by Supporting Trans-Disciplinary Academic Research


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Sankaran Venkataraman

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Sankaran Venkataraman ("Venkat") is the MasterCard Professor of Business Administration and Senior Associate Dean for Faculty and Research at the Darden Graduate School of Business Administration, University of Virginia. He is a member of the Strategy, Entrepreneurship and Ethics area at Darden and teaches MBA and executive level courses in strategy, entrepreneurship, and ethics. He is a faculty in numerous executive education programs at Darden and the Indian School of Business, and is on the faculty team of The Executive Program. He is an internationally renowned scholar and educator in the field of entrepreneurship. He has published extensively and has lectured around the world. The Academy of Management, the largest professional body of management educators in the world, has recognized his research by awarding him the inaugural IDEA award for Foundational Research in entrepreneurship and, in 2010, the Academy of Management Review (a leading journal of the Academy) cited one of his papers as the most influential in the past decade from among the papers published in that journal. He consults with Fortune 500 firms as well as several small companies. He facilitates strategy discussion for firms and is and advisor to firms, universities and government organizations. He has been a speaker for and advisor to the Entrepreneurial Forum, a program of the International Trade Administration of the U.S. Department of Commerce aimed at promoting trade through entrepreneurship around the world.

Srini Venkatramanan

Srini Venkatramanan

Srini Venkatramanan is a Research Scientist at the Biocomplexity Institute & Initiative, University of Virginia. He is affiliated with the Network Systems Science & Advanced Computing Division, and is responsible for developing, analyzing and optimizing computational models in the field of network epidemiology. His areas of interest include network science, stochastic modeling and big data analytics. He has used in-silico models of society based on synthetic populations and metapopulation models to study questions of interest in the infectious diseases community. Recent research includes modeling and forecasting emerging infectious disease outbreaks (e.g., Ebola, Zika), impact of human mobility on disease spread and resource allocation problems in the context of epidemic control (e.g., seasonal influenza vaccines).