教育背景

• Aug 2015 - May 2020  Ph.D. in Business Analytics and Statistics 
University of Tennessee Knoxville (UTK), Haslam College of Business

• Aug 2009 - Jun 2013 B.S. in Physics

  University of Science and Technology of China (USTC), School of Gifted Young

研究兴趣

• Substantive: Business Analytics, Crowdsourcing, Reinforcement Learning, Causal Inference
  

• Methodology: Data Mining, Machine Learning, Game Theoretical Analysis, Statistical Inference

工作经历

• 2020.08 – Present, Assistant Professor, Advanced Institution of Business (AIB), Tongji University 

科学研究

Conference Papers & Presentations 

[1] Yan, W., and Zhou, W. (2019) “Causal Inference Via Covariate Balancing,” accepted by the 2019 INFORMS Workshop on Data Science (DS), Seattle, WA. 

[2] Yan, W., Zhou, W., Tan, C., and Fan, L., (2019) “Employee Ridesharing: Reinforcement Learning and Choice Modeling,” in Proceedings of the 25th Americas Conference on Information Systems (AMCIS), Cancun, Mexico. ´ 

[3] Yan, W., and Zhou, W., (2018) “Employee Ride-sharing: User Choices and Reinforcement Learning,” in the INFORMS 2018 Workshop on Data Science (DS), Phoenix, AZ. Best Paper Award. 

[4] Yan, W., and Zhou, W., (2018) “Peer-to-Peer Lending in the Blockchain World,” in the 10th Conference on Information Systems & Technology (CIST), Phoenix, AZ. 

[5] Yan, W., Zhou, W., and Letizia, P., (2018) “Crowdsourcing Data Science via Open Contests,” in the INFORMS 13th Data Mining & Decision Analytics Workshop (DMDA), Phoenix, AZ. 

[6] Yan, W., Mockus, A., Saul, T., and Steadman, D., (2018) “Curating Forensic Image Collection Using Machine Learning,” in the AAFS 70th Annual Scientific Meeting, Seattle, WA. 

[7] Yan, W., Zhou, W., Letizia, P., and Bichescu, B., (2017) “Crowdsourcing Data Science for Innovation,” in the 2017 IEEE International Conference on Data Mining Workshop (ICDMW), pages 1148-1157, New Orleans, LA. 

[8] Zhou, W., Yan W., and Zhang X., (2017) “Collaboration for Success in Crowdsourced Innovation Projects: Knowledge Creation, Team Diversity, and Tacit Coordination,” in Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS 50), Hilton Waikoloa Village, Hawaii. 

[9] Yan, W., Zhou, W., Colby, S., Kattelmann, K., Mathews, A., and Olfert, M., (2016) “The GetFruved Project Uses Integer Programming to Match Freshmen to Peer Mentors,” poster presented in the 2016 INFORMS Annual Meeting, Nashville, TN.

荣誉/获奖

• Business Analytics PhD Research Award, UTK, 2019

• Best Paper Award, the INFORMS 2018 Workshop on Data Science, 2018

• Business Analytics Doctoral Program First Year Analytics Excellence Award, UTK, 2016

• Graduate Research Assistantship and Departmental Scholarship, UTK, 2015 - Present

• Erasmus Mundus EXPERTS II Scholarship, European Union, 2012

• Inspirational National Scholarship, USTC, 2011

• Second-Class Scholarship for Excellent Students, USTC, 2010

• First-Class Scholarship for Excellent New Students, USTC, 2009