Tianshu Sun. Minor in Economics (15 Courses in Game Theory and Econometrics)

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Tianshu Sun Contact Information 310B Bridge Hall, Marshall School of Business, University of Southern California, Los Angeles, California 90089. Email: tianshus@usc.edu Academic Position 2016 - Present: Assistant Professor of Data Sciences and Operations, Marshall School of Business, University of Southern California. Education 2011-2016 : Ph.D. (Information Systems and Economics), Smith School of Business, University of Maryland. Dissertation: Engineering Digital Sharing Platforms to Create Social Contagion: Evidence from Three Large Scale Randomized Field Experiments, Committee: Siva Viswanathan, Ginger Zhe Jin, Gordon (Guodong) Gao, Il-Horn Hann, David Godes Minor in Economics (15 Courses in Game Theory and Econometrics) 2009-2011 : Master of Science (Physics), University of Maryland. (Pass all PhD Qualify Exams in 2009, GPA 4.0/4.0, Flagship Fellowship 2009-11) 2005-2009 : Bachelor of Science (Physics), Nanjing University. Research Interest Substantive: Big Data, Business Analytics, Online Social Sharing, Offline Behaviors, Mobile Technology, Internet of Things, Public Health, Pro-social Behavior Methodology: Randomized Field Experiment, Econometrics, Machine Learning, Structural Econometric Model, Game Theory, Social Network Analysis Research Published Paper Tianshu Sun, Susan Feng Lu and Ginger Zhe Jin (2016), Solving Shortage in a Priceless Market: Evidence from Blood Donation, Journal of Health Economics, 48(2016):149-165. -- Featured on Nobel Prize Laureate Al Roth s blog and in NBER News; Winning 1

Proposal, Institute for New Economic Thinking (INET) & Soros Foundation, 2013 Working Paper I. Use Digital Interventions to Influence Online Information Sharing Tianshu Sun, Siva Viswanathan and Elena Zheleva (2016) Creating Social Contagion through Firm Mediated Message Design: Evidence from a Randomized Field Experiment, Under Review, Management Science -- Best Dissertation Proposal (Runner-up), WITS 2015; Best Paper (Finalist), CSWIM 2015; Best Student Paper (3 rd Place), INFORMS Service Science Society 2014; Winner, Marketing Science Institute (MSI) Research Competition 2014 Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015), Mobile Messaging for Offline Social Interactions: A Large Field Experiment, NBER Working Paper #21704, Revision for 3 nd Round Review, Management Science -- Best Paper, CIST 2015; Best Paper (Honorable Mentions), INFORMS Doing Good with Good OR 2015; Best Student Paper (Finalist), WHITE 2015 JaeHwuen Jung, Ravi Bapna, Joe Golden and Tianshu Sun (2016) Altruism Pays! Towards Optimal Call-to-Action for Online Referral: A Randomized Field Experiment, Major Revision, Information Systems Research -- Best Paper (Finalist), ICIS 2016; Best Paper, ICIS E-Business Track 2016 Ni (Nina) Huang, Tianshu Sun, Pei-yu Chen and Joseph Golden (2017) Social Media Integration and E-commerce Platform Performance: A Randomized Field Experiment, Under Review, Information Systems Research II. Use Digital Interventions to Influence Offline Behaviors Tianshu Sun, Lanfei Shi, Siva Viswanathan and Elena Zheleva (2017) Motivating Mobile App Adoption: Evidence from a Randomized Field Experiment, Working Paper, In Preparation for Submission -- CIST 2016, SCECR 2016, Temple University 2017 Uncovering Offline Conversion Funnel with Big Data: the case of Smart WiFi tracking in Retailing Industry, with Xing Lan and Jason Duan, Work in progress Work Experience (as a Data Scientist) 2012 : Algorithm Research Intern, Adobe Data Science Team, San Jose, CA 2013 2016 : Data Scientist, LivingSocial Inc., Washington, DC 2013 2016 : Data Science Consultant, Ministry of Health, China 2015 Present : Data Science Consultant, Zhima Tech, China 2015 Present : Data Science Consultant, Collage.com, SF, CA 2

Business Analytics/ Data Science Skills Work as a data scientist across Fortune 500, Government Agency and Startups Data Infrastructure: Hadoop, MapReduce, Spark Programming: SQL/HiveQL/Python/C Statistic Software: R/STATA/WINBUG/Python(Numpy, Scipy, NetworkX)/Pajek Scientific Computing: Matlab/Mathematica/COMSOL/Origin Awards and Grants Conference Best Paper and Research Competition Winner Best Paper (Finalist), International Conferences on Information Systems (ICIS), 2016 Best Paper, ICIS 2016 E-Business Track Best Paper, Conference on Information Systems and Technology (CIST), 2015 Best Dissertation Proposal (Runner up), Workshop on Information Technologies & Systems (WITS), 2015 Best Paper (Finalist), China Summer Workshop on Information Management, 2015 Best Paper (Honorable Mentions), INFORMS Doing Good with Good OR Paper Competition, 2015 Best Student Paper Finalist, Workshop on Health Information Technology and Economics (WHITE), 2015 IBM Best Student Paper (3rd Place), INFORMS Service Science Society, 2014 Winner, Marketing Science Institute (MSI) Research Competition ($7500), 2014 Award and Honor Faculty Research Award, USC Greif Center for Entrepreneurial Studies, 2017 Distinguished Dissertation Award (Nomination), University of Maryland, 2017 Best Dissertation Award, Smith School of Business, University of Maryland, 2017 Frank Paine Doctoral Award for Academic Achievement, University of Maryland (most prestigious award for PhD Students at the Smith School of Business), 2015 All S.T.A.R Fellowship, University of Maryland ($10000, only recipient from the Business School), 2015 SSRN Top 10 Popular List in Marketing: Randomization & Information System, 2015 Fellow, ICIS Doctoral Consortium, 2015 Fellow, NBER Economics of Digitization Doctoral Consortium (travel grant), 2015 Fellow, Workshop on Health IT and Economics Doctoral Consortium, 2015 Fellow, INFORMS Marketing Science Doctoral Consortium, 2015 Fellow, CMU Structural Modeling Approaches to Research on Technology (SMART), 2014 Global Young Scholar, Institute for New Economic Thinking & Soros Foundation (with grant), 2013 UCLA-China Cross Disciplinary Scholarship in Science and Technology, 2008 National Scholarship of China (by Minister of Education; for top 1% students), 2008 Chen-Ning Yang Scholarship (for few distinguish Physics Majors in China), 2007 Champion, Chess Open, Jiangsu, China (National Athlete for Chess), 1996-2004 Grant and Funding Google Cloud Education Grant ($5000), Google, 2016 3

Research Grant, CIBER and US Department of Education ($4000), 2015 NSF Travel Award for Drawing Causal Inference from Big Data ($1250), 2015 International Conference Student Support Award, University of Maryland, 2014 Jacob K. Goldhaber Travel Award, University of Maryland ($600), 2014 Student Scholarship, Statistical Challenges in ecommerce Research (SCECR), 2015 University Flagship Fellowship, University of Maryland, 2009-2011 Dean s Fellowship, Smith School of Business, University of Maryland, 2011-2016 Invited Talk Temple University (Global Center for Big Data in Mobile Analytics), 2017 Shanghai Jiaotong University, 2017 USC Mini-Conference on Big Data in Business and Data Sciences, 2017 Facebook Research, 2016 Snapchat Research, 2016 NYU Stern, 2016 University of Minnesota, 2016 University of Rochester, 2016 University of California San Diego, 2016 Indiana University, 2016 Hong Kong University of Science and Technology (HKUST), 2016 City University of Hong Kong, 2016 University of Pittsburgh, 2016 Temple University, 2015 University of Connecticut, 2015 University of Southern California, 2015 Emory University, 2015 George Washington University, 2015 LivingSocial, 2013, 2014, 2015 Adobe, 2012 Conference/Workshop Papers and Presentations 1. Jaehwuen Jung, Ravi Bapna, Joe Golden and Tianshu Sun. Does Care Lead to Share? Evidence from a Randomized Field Experiment on Call for Sharing, International Conference on Information Systems (ICIS 2016), Dublin, Ireland (Best Paper Finalist, ICIS 2016; Best Paper, ICIS E-business Track 2016) 2. Jaehwuen Jung, Ravi Bapna, Joe Golden and Tianshu Sun. Altruism Pays! Towards Optimal Call-to-Action for Online Referral: A Randomized Field Experiment Workshop on Information Systems and Economics (WISE 2016), Dublin 3. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2016) Mobile Messaging for Offline Social Interactions: A Large Field Experiment, Stanford Digital Marketing Conference, Palo Alto, CA 4. Tianshu Sun, Lanfei Shi, Siva Viswanathan and Elena Zheleva (2016) Motivating Mobile App Adoption: Evidence from a Randomized Field Experiment, Conference on Information Systems and Technology (CIST 2016), Nashville, US 5. Jaehwuen Jung, Ravi Bapna, Joe Golden and Tianshu Sun. Altruism Pays! Towards 4

Optimal Call-to-Action for Online Referral: A Randomized Field Experiment, Conference on Information Systems and Technology (CIST 2016), Nashville, US 6. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2016) Monetize Sharing Traffic through Incentive Design: A Large Field Experiment. INFORMS Annual Meeting 2016, Nashville, US 7. Tianshu Sun, Lanfei Shi, Siva Viswanathan and Elena Zheleva (2016) Motivating Mobile App Adoption: Evidence from a Randomized Field Experiment, INFORMS Annual Meeting 2016, Nashville, US 8. Jaehwuen Jung, Ravi Bapna, Joe Golden and Tianshu Sun. Altruism Pays! Towards Optimal Call-to-Action for Online Referral: A Randomized Field Experiment, Conference on Digital Experimentation (CODE 2016), MIT, Boston 9. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2016) Motivating Group Donation: Evidence from a Large Field Experiment, Advances in Field Experiments Conference (AFE 2016), Chicago, IL 10. Jaehwuen Jung, Ravi Bapna, Joe Golden and Tianshu Sun. (2016) Optimal Call to Action for Referral Programs: Evidence from A Randomized Field Experiment, Symposium on Statistical Challenges in ecommerce Research (SCECR 2016), Greece 11. Tianshu Sun, Lanfei Shi, Siva Viswanathan and Elena Zheleva (2016) Motivating Mobile App Adoption: Evidence from a Randomized Field Experiment, Symposium on Statistical Challenges in ecommerce Research (SCECR 2016), Greece 12. Tianshu Sun, "Engineering Digital Sharing Platforms to Create Social Contagion: Evidence from Three Large-scale Randomized Field Experiments" Workshop on Information Technologies and Systems (WITS 2015), Dallas, US (Best Dissertation Proposal Award Finalist, WITS 2015) 13. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2015) Monetize Sharing Traffic through Incentive Design: A Randomized Field Experiment. Conference on Information Systems and Technology (CIST 2015), Philadelphia, US 14. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Using Mobile Messaging to Leverage Social Connections for the Social Good: Evidence from Large-Scale Randomized Field Experiment. Conference on Information Systems and Technology (CIST 2015), Philadelphia, US (Best Paper (1st Place), CIST 2015) 15. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Using Mobile Messaging to Leverage Social Connections for the Social Good: Evidence from Large-Scale Randomized Field Experiment. NYU Conference on Digital Big Data, Smart Device & Mobile Marketing Analytics (Big Data 2015), NYU, New York, US 16. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Motivating Group Donation: Evidence from a Large Field Experiment Annual Workshop on Health IT and Economics (WHITE 2015), Washington, DC, US (Best Student Paper Award Finalist, WHITE 2015) 17. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2015) Monetize Sharing Traffic through Incentive Design: A Randomized Field Experiment. Conference on Digital Experimentation (CODE 2015), MIT, Boston, US 18. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Using Mobile Messaging to Leverage Social Connections for the Social Good: Evidence from Large-Scale 5

Randomized Field Experiment. Conference on Digital Experimentation (CODE 2015), MIT, Boston, US 19. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Motivating Group Donation: Evidence from a Large Field Experiment. Workshop on Information in Networks (WIN 2015), NYU 20. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Optimal Policy Design to Motivate Blood Donation: Evidence from a Randomized Field Experiment and a Structural Model. INFORMS Annual Meeting 2015, Philadelphia, US (Best Paper Finalist, INFORMS Doing Good with Good OR Paper Competition) 21. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Motivating Group Donation: Evidence from a Large Field Experiment. INFORMS Annual Meeting 2015, Philadelphia, US 22. Lanfei Shi, Tianshu Sun, Siva Viswanathan (2015) The Diffusion and Business Value of User Generated Content On Social Media: Evidence From Twitter. INFORMS Annual Meeting 2015, Philadelphia, US 23. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2015) Monetize Sharing Traffic through Incentive Design: A Randomized Field Experiment. INFORMS Annual Meeting 2015, Philadelphia, US 24. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) Creating Social Contagion through Message Design: A Randomized Field Experiment. China Summer Workshop on Information Management (CSWIM 2015), Hefei, China (Best Paper Award Finalist, CSWIM 2015) 25. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2015) Monetize Sharing Traffic through Incentive Design: A Randomized Field Experiment. Symposium on Statistical Challenges in ecommerce Research (SCECR 2015), Addis Ababa, Ethiopia 26. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Motivating Group Donation: Evidence from a Large Field Experiment. Symposium on Statistical Challenges in ecommerce Research (SCECR 2015), Addis Ababa, Ethiopia 27. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2015) Monetize Sharing Traffic through Incentive Design: A Randomized Field Experiment. INFORMS Marketing Science Conference 2015, Baltimore, US 28. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Motivating Group Donation: Evidence from a Large Field Experiment. Graduate Research Interaction Day, University of Maryland (GRID 2015), College Park, MD 29. Tianshu Sun, Susan Feng Lu and Ginger Zhe Jin (2015) Solving Shortage in Priceless Market: Evidence from Blood Donation. International Industrial Organization Conference (IIOC 2015), Boston, US 30. Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2015) Motivating Group Donation: Evidence from a Large Field Experiment. International Industrial Organization Conference (IIOC 2015), Boston, US 31. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) Creating Social Contagion through Message Design: A Randomized Field Experiment. Workshop on Information Systems and Economics (WISE 2014), Auckland, New Zealand 32. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) Understanding the Effects of Message Design on Firm-Mediated Online Social Interactions: A Randomized Field 6

Experiment International Conference on Information Systems (ICIS 2014), Auckland, NZ 33. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) Understanding the Effect of Message Design on Firm-Mediated Online Social Interactions: A Randomized Field Experiment. Conference on Information Systems and Technology (CIST 2014), SF, US 34. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) Antecedences and Consequences of Multichannel Sharing Behaviors INFORMS Annual Meeting 2014, SF,US 35. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) Understanding the Effect of Message Design on Firm-Mediated Online Social Interactions: A Randomized Field Experiment. INFORMS Annual Meeting 2014, SF, US (INFORMS Service Science Best Student Paper, 3 rd Place) 36. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) An Empirical Investigation of Online Information Sharing Behaviors: Evidence from a Daily Deal Platform. INFORMS Marketing Science Conference 2014, Atlanta, US 37. Tianshu Sun, Siva Viswanathan and Elena Zheleva (2014) Impact of Message Design on Online Interactions: An Empirical Investigation. International Conference on Electronic Commerce (ICEC 2014), Philadelphia, US Teaching Data Warehouse and Data Mining (University of Southern California, 2016, Course Evaluation: 4.8/5) Guest Lecture: DSO621 Research Forums (on Field Experiment), MKT613 Quantitative Marketing Models (on Field Experiment and Social Sharing), BMGT 808 Information Systems Economics (University of Maryland, 2015, on Field Experiments and Social Network Analysis) Modern Database Systems and Data Analytics (University of Maryland, 2014, 2015, Course Evaluation: 4.7/5) Service Reviewer: MISQ (2013-2017), Information Systems Research (2016-2017), Management Science (2015-2017), Journal of Economic and Management Strategy (2014), CIST (2014-2017), ICIS (2012-2017), PACIS (2013), WITS (2014) Conference Organization: INFORMS Session Chair (2016, 2017), CIST Program Committee 2017, CSWIM Program Committee 2017 Discussant: International Industrial Organization Conference (2015), CSWIM (2015) 7