My name is Zhikun Lu. I am a PhD candidate in Business (Operations Management track, STEM certified) from Goizueta Business School, Emory University. My research focuses on causality-driven decision making (CDDM) with applications to digital platform operations, utilizing techniques from causal inference, machine learning, and optimization. During my PhD, I have collaborated with leading tech companies, including Alibaba, Amazon, and Tencent, developing identify-then-optimize (ITP) models to improve various business outcomes, such as sales, customer lifetime value, and user engagement. I am passionate about discovering innovative ideas, mastering new skills, and applying them to address real-world business challenges.

Google Scholar; SSRN; Emory Page; Curriculum Vitae; (official), (personal)


Published Paper

1. Ruomeng Cui, Zhikun Lu, Tianshu Sun, and Joe Golden (2024) "Sooner or Later? Promising Delivery Speed in Online Retail." Manufacturing & Service Operations Management
Finalist, 2023 MSOM Student Paper Competition
– Best Paper in Track Award, 2021 International Conference on Information Systems (ICIS)

2. Fohlin, Caroline, and Zhikun Lu (2021) "How Contagious Was the Panic of 1907? New Evidence from Trust Company Stocks." AEA Papers and Proceedings

Working Paper

1. "The Value of Last-mile Delivery in Online Retail" with Ruomeng Cui, Tianshu Sun, and Lixia Wu, major revision at Management Science
Finalist, 2024 POMS College of Supply Chain Management Student Paper Competition

2. "Short Sale Bans May Improve Market Quality During Crises: New Evidence from the 2020 Covid Crash" with Caroline Fohlin and Nan Zhou
– See VoxEU Column for a non-technical summary

3. "Preferential Credit Policy with Sectoral Markup Heterogeneity" with Kaiji Chen, Yuxuan Huang, Xuewen Liu, and Yong Wang, under review