Hello! I am Ye Liu (she/her/hers), a 5th-year Ph.D. candidate in Information Systems at the Michael G. Foster School of Business, University of Washington. I am fortunate to be advised by Professor Yong Tan. In my research, I leverage structural models and machine learning methods to tackle business problems, focusing on networked organizations. Specifically, I am interested in Fintech applications (cryptocurrency, social trading, NFT, crowdfunding) and digital platforms.
I received my bachelor's degree in finance at Shanghai Jiao Tong University, China. Before my Ph.D., I have 3 years of consulting experience, specializing in the technology sector.
I am on the 2024-2025 job market!
Research
Publication
Effects of Scarcity-Induced Demand on Crowdfunding Market (with Zhijin Zhou, Chaoliang Ma, Yong Tan). Production and Operations Management. 2024.
Working Paper
The Interplay of Opinions and Behavior in Social Learning: Early Cryptocurrency Adoption Dynamics (with Mingwen Yang, Matthias Pelster, and Yong Tan). Major Revision at Information Systems Research.
First place, Best Student Paper Award, INFORMS Social Media Analytics Section, 2024
Coevolution of Trader Networks and Follower Dynamics in Social Trading (with Mingwen Yang and Yong Tan). Major Revision at Production and Operations Management.
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets (with Amandeep Singh and Hema Yoganarasimhan). Major Revision at Marketing Science.
One Size Fits All? Informational Accessibility and Inclusivity in Online Platforms (with Yu Kan, Uttara M. Ananthakrishnan, and Yong Tan). Major Revision at Management Science.
Image or Network? Exploring the Role of Networks in NFT Platforms Using a Set-Based Approach (with Yong Tan). Working paper.
Teaching
Lab Instructor
IS 451 Business Data Analytics
Autumn 2022, Course evaluation: 4.6/5
Spring 2023, Course evaluation: 4.5/5
IS 300 Intro to Information Systems
Winter 2022, Course evaluation: 4.5/5
Autumn 2021, Course evaluation: 4.0/5
Teaching Assistant
IS 445 Database Management
Spring 2022, Course evaluation: 4.8/5
IS 410 Networks and Cyber Security
Winter 2024, Course evaluation: 4.8/5