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flowchart LR
A[Experience] --> B[Supply Chain Management]
A --> C[Revenue/Yield Management]
B --> E[Transportation/Logistics]
B --> F[Fulfillment]
B --> G[Replenishment]
E --> J[Route/delivery optimization]
E --> K[Shipment consolidation]
E --> L[Job/driver scheduling]
E --> R[Ocean procurement]
F --> M[Warehouse inbound - item slotting/profiling]
F --> N[Warehouse outbound - trip/pallet building]
G --> O[Truckload optimization]
G --> P[Order optimization]
G --> Q[Inventory optimization]
C --> I[Capacity Planning]
C --> S[Propensity modeling]
C --> H[Marketing campaign optimization]
Background
I am an Operations Research Scientist and Machine Learning practitioner with a strong foundation in optimization and applied analytics.
Currently, I work at Symbotic, where I focus on robotic fleet orchestration and tasking. Previously, I was with Marriott Vacations Worldwide, leading initiatives in marketing campaign optimization, inventory control, and revenue management. Before that, I contributed to multiple supply chain optimization projects at Walmart Global Technology.
My academic background includes a Ph.D. in Industrial Engineering from the University of Arkansas, where my research focused on vehicle routing problems. I also hold B.S. and M.S. degrees in Industrial Engineering from Huazhong University of Science and Technology in China.
Strengths and Experience
Competitive Strengths
- Strong academic foundation in Operations Research theory and methodology
- Extensive experience solving large-scale optimization problems in supply chains
- Deep hands-on expertise in building efficient and scalable optimization products
My professional experience can be put into the following categories:
