Associate Professor, Foster Faculty Fellow Michael G. Foster School of Business, University of Washington

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Hema Yoganarasimhan Foster School of Business University of Washington Box 353226, Seattle, WA 98195 Email: hemay@uw.edu http://faculty.washington.edu/hemay Academic Positions Associate Professor, Foster Faculty Fellow Michael G. Foster School of Business, University of Washington Adjunct Associate Professor Computer Science and Engineering, University of Washington Adjunct Associate Professor Department of Economics, University of Washington Faculty Affiliate Center for Statistics in the Social Sciences, University of Washington Past Positions 2014-2017: Assistant Professor, Foster Faculty Fellow Michael G. Foster School of Business, University of Washington 2009-2014: Assistant Professor Graduate School of Management, UC Davis Education Yale University Ph.D., Marketing, 2009; M. Phil., Marketing, 2008; M.A., Marketing, 2006 Indian Institute of Technology, Madras B.Tech, Naval Architecture and Ocean Engineering, 2004 Dissertation Essays on the Role of Social Interactions and Networks in Marketing Winner, MSI Clayton Doctoral Dissertation Proposal Competition, 2008. 1

Honors & Awards Finalist, John D.C. Little Best Paper Award, 2016. Foster PhD Mentor Award, 2016-17. MSI Young Scholar, 2015. Foster Faculty Fellowship, 2014-present. Winner, John D.C. Little Best Paper Award, 2013. Winner, Frank M. Bass Outstanding Dissertation Award, 2012. Finalist, John D.C. Little Best Paper Award, 2012. Management Science Meritorious Service Award, 2012, 2013, 2014, 2015. Winner, MSI Clayton Doctoral Dissertation Proposal Competition, 2008. Fellow, AMA-Sheth Doctoral Consortium, Columbia, Missouri, 2008. Fellowship, Yale University, 2004-2009. Publications 1. Yoganarasimhan, H. (2017), Identifying the Presence and Cause of Fashion Cycles in Data. Journal of Marketing Research, Vol. 54(1), pp 5 26. (Lead article.) 2. Yoganarasimhan, H. (2016), Estimation of Beauty Contest Auctions, Marketing Science, Vol. 35(1), pp 27 54. Finalist, John D.C. Little Best Paper Award, 2016. 3. Yoganarasimhan, H. (2013), The Value of Reputation in an Online Freelance Marketplace, Marketing Science, Vol. 32(6), pp 860 891. Winner, John D.C. Little Best Paper Award, 2013. 4. Yoganarasimhan, H. (2012), Cloak or Flaunt? The Fashion Dilemma, Marketing Science, Vol. 31(1), pp 74 95. Winner, Frank M. Bass Outstanding Dissertation Award, 2012. Finalist, John D.C. Little Best Paper Award, 2012. 5. Yoganarasimhan, H. (2012), Impact of Social Network Structure on Content Propagation - A Study using YouTube Data, Quantitative Marketing and Economics, Vol. 10(1), pp 111 150. 6. Mayzlin, D., and Yoganarasimhan, H. (2012), Link to Success - How Blogs Build an Audience by Promoting Rivals, Management Science, Vol. 58(9), pp 1651 1668. 2

Working Papers 7. Yoganarasimhan, H., Search Personalization using Machine Learning. (Invited revision at Management Science.) 8. Iyer, G., and Yoganarasimhan, H., Polarization in Group Interactions. 9. Rafieian, O., and Yoganarasimhan, H., Targeting and Privacy in Mobile Advertising. Work in Progress 10. Yoganarasimhan, H., A Dynamic Model of Online Search. 11. Shriver, S., and Yoganarasimhan, H., Optimizing Content and Pricing Strategies for Digital Video Games. Research Grants Adobe Digital Marketing Research Award, 2017. MSI Research Award, 2015. Adobe Research Grant, 2012. UC Davis Small Grant in Aid of Research, 2010, 2011. Teaching Analytics for Firm Decisions (MBA, Undergraduate, University of Washington) Marketing Core (Undergraduate, University of Washington) Digital Marketing (MBA, UC Davis) Dynamic Structural Models in Marketing (PhD, University of Washington) Service Co-Editor Quantitative Marketing and Economics Associate Editor Marketing Science Editorial Board Customer Needs and Solutions Journal of Marketing Research 3

Ad-hoc Reviewer Annals of Applied Statistics Information Sciences Research International Journal of Research in Marketing Journal of Consumer Research Journal of Marketing Journal of Political Economy Management Science (Behavioral Economics, Enterpreneurship and Innovation, Information Systems, Marketing) Manufacturing and Service Operations Management MSI Doctoral Dissertation Proposal Operations Research Production and Operations Management Quantitative Marketing and Economics Research Grants Council of Hong Kong Social Sciences and Humanities Research Council of Canada Discussant SICS Berkeley, 2014, 2016 Theory in Economics and Information Systems, 2011 Other Service Selection Committee Member, UTD FORMS Conference, 2016 WCAI Data Grant Proposal Reviewer, 2016 Panelist, Annual Meeting of the Decision Science Institute, 2015 Track Co-chair, AMA Winter Educator s conference, 2012 Marketing/IS/OM Seminar-series coordinator, 2011-2012 Session chair, SICS Berkeley, 2009 Invited Talks Search Personalization using Machine Learning. Harvard University, 2017 Duke University, 2017 Massachusetts Institute of Technology, 2017 (scheduled) Erasmus University (to be scheduled) Goethe University Frankfurt (to be scheduled) HEC Paris (to be scheduled) University of Mannheim (to be scheduled) University of Pennsylvania (to be scheduled) University of Chicago (to be scheduled) 4

Identifying the Presence and Cause of Fashion Cycles in Data. Cornell University, 2014 Estimation of Beauty Contest Auctions. University of Washington (ISOM Dept.), 2015 University of Alberta, 2014 Washington University at St. Louis, 2014 University of Toronto, 2014 Columbia University, 2013 University of Colorado, 2013 The Value of Reputation in an Online Freelance Marketplace. University of Southern California, 2013 University of Washington, 2013 University of Rochester, 2013 University of California at Los Angeles, 2013 Yale University, 2013 Northwestern University, 2013 London Business School, 2013 University of North Carolina at Chapel Hill, 2012 Columbia University, 2012 University of Wisconsin at Madison, 2012 Impact of Social Network Structure on Content Propagation - A Study using YouTube Data. Adobe Research Labs, 2012 University of Washington, 2011 University of California at Berkeley, 2010 Stanford University, 2010 Cloak or Flaunt? The Fashion Dilemma. Carnegie Mellon University, 2008 HKUST, 2008 London Business School, 2008 New York University, 2008 University of California at Davis, 2008 University of Florida, 2008 University of Maryland, 2008 University of Minnesota, 2008 University of Texas at Dallas, 2008 Washington University at St. Louis, 2008 Yale University Economic Theory Lunch, 2008 5

Conference Talks Targeting and Privacy in Mobile Advertising. SICS Berkeley, 2017 Marketing Science-FTC Conference on Consumer Protection, 2016 Big Data and Marketing Analytics Conference, 2016 10 th Triennial Invitational Choice Symposium, 2016 Search Personalization using Machine Learning. Columbia Big Data and Marketing Analytics Conference, 2017 Stanford Digital Marketing Conference, 2016 Big Data Marketing Analytics Conference, 2014 Marketing Science Conference, 2014 UTD FORMS Conference, 2014 A Dynamic Model of Online Search. Marketing Dynamics Conference, 2014 Estimation of Beauty Contest Auctions. SMART Workshop, 2014 QME Conference, 2013 Marketing Science Conference, 2013 Marketing Dynamics Conference, 2013 UTD FORMS Conference, 2013 NASMEI Conference, 2013 The Value of Reputation in an Online Freelance Marketplace. SICS Berkeley, 2012 Marketing Science Conference, 2012 UTD FORMS Conference, 2012 NASMEI Conference, 2012 Identifying the Presence and Cause of Fashion Cycles in Data. SICS Berkeley, 2011 Marketing Science Conference, 2011 NASMEI Conference, 2011 Impact of Social Network Structure on Content Propagation - A Study using YouTube Data. Marketing Dynamics Conference, 2010 Marketing Science Conference, 2010 UTD FORMS Conference, 2010 NASMEI Conference, 2009 6