Education:

• 2014 - 2019: PhD, Industrial Engineering & Operations Research, UC Berkeley

• 2014 - 2015: M.S., Industrial Engineering & Operations Research, UC Berkeley

• 2010 - 2014: B.Eng., Industrial Engineering, Tsinghua University

• 2012 Fall: Exchange Student, Industrial Engineering, Purdue University

Research Interests: 

optimization and data analytics, smart city operations (e.g., urban mobility and logistics), supply chain management, OM for social good

Publications & Working Papers:

• Inventory Allocation under the Greedy Fulfillment Policy: The (Potential) Perils of the Hindsight Approach, working paper, 2024 (with Stefanus Jasin and Jinglong Zhao)

• Coordinate Package Delivery and On-Demand Rides: A Zoning Policy and Analysis, reject & resubmit, 2023 (with Junyu Cao)

• Data Privacy in Pricing: Estimation Bias and Implications, working paper, 2023 (with Ningyuan Chen, Ming Hu, Jialin Li)

• Toward Stormwater-Resilient Cities: Robust Planning Against Extreme Rainfalls, reject & resubmit, 2023 (with Wei Qi, Aiqi Zhang)

• Distributionally Robust Multilocation Newsvendor at Scale: A Scenario-Based Linear Programming Approach, under revision, 2022 (with Chenxi Li, Wei Qi, Lun Ran, Aiqi Zhang)

• Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection, accepted at Management Science, 2024 (with Auyon Siddiq and Jingwei Zhang)

• Fairness in Accessibility of Public Service Facilities, accepted at Operations Research Letters, 2024 (with Nooshin Salari)

• Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach,  Manufacturing & Service Operations Management, 2024 (with Dazhou Lei, Yongzhi Qi, Hao Hu, Dongyang Geng, Jianshen Zhang, Zuo-Jun Max Shen)

• Provably Good Region Partitioning for On-Time Last-Mile Delivery, Operations Research, 2023 (with John Gunnar Carlsson, Nooshin Salari, Han Yu)

• On-Demand Delivery from Stores: Dynamic Dispatching and Routing with Random Demand, Manufacturing & Service Operations Management, 2022 (with Zhixing Luo)

• On the Joint Inventory and Pricing Control for a One-Warehouse Multi-Store Problem with Lost Sales: Spiraling Phenomena and a Near-Optimal Heuristic, Operations Research, 2022 (with Yanzhe (Murray) Lei, Stefanus Jasin, Andrew Vakhutinsky)

• Smart Urban Transport and Logistics: A Business Analytics Perspective, Production and Operations Management, 2022 (with Long He, Zuo-Jun Max Shen)

• Real-Time Delivery Time Forecasting and Promising in Online Retailing: When Will Your Package Arrive?, Manufacturing & Service Operations Management, 2022 (with Nooshin Salari, Zuo-Jun Max Shen)

• New Product Life Cycle Curve Modeling and Forecasting with Product Attributes and Promotion: A Bayesian Functional Approach, Production and Operations Management, 2022 (with Dazhou Lei, Hao Hu, Dongyang Geng, Jianshen Zhang, Yongzhi Qi, Zuo-Jun Max Shen)

• Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study, Manufacturing & Service Operations Management, 2021 (with Xiang Ji, Zuo-Jun Max Shen)

• On-Time Last Mile Delivery: Order Assignment with Travel Time Predictors,  Management Science, 2021 (previously Data-Driven Order Assignment for Last Mile Delivery)  (with Long He, Zuo-Jun Max Shen)

• A Graph-Theoretic Approach for Spatial Filtering and Its Impact on Mixed-type Spatial Pattern Recognition in Wafer Bin Maps, IEEE Transactions on Semiconductor Manufacturing, 2021 (with Ahmed Aziz Ezzat, Dorit Hochbaum and Yu Ding)

• Transient-State Natural Gas Transmission in Gunbarrel Pipeline Networks, INFORMS Journal on Computing, 2020 (with Shixuan Zhang, Tianhu Deng and Zuo-Jun Max Shen)

• Adjacency-Clustering and Its Application for Yield Prediction in Integrated Circuit Manufacturing, Operations Research, 2018 (with Dorit Hochbaum)

• Shared Mobility for Last-Mile Delivery: Design, Operational Prescriptions and Environmental Impact, Manufacturing & Service Operations Management, 2018, available on SSRN (with Wei Qi, Lefei Li and Zuo-Jun Max Shen)

1. Others

• Data Analytics and Smart City Operations, PhD Thesis, 2019

• A Study of Three-Period Ramp-Up Polytope, Technical Report, 2015 (with Deepak Rajan)

Data Sets:

• Bike trajectory data from a dock-less bike sharing company

• Food delivery data from a food delivery service provider