Summary
Longsheng Sun is an Operations Research Scientist with over a decade of experience developing production-grade algorithms for scheduling, routing, network design, pricing and forecasting, currently improving assignment efficiency and bottom-line metrics at DoorDash. He combines deep academic training (Ph.D. in Operations Research) with industrial expertise in mixed-integer programming, heuristics, robust optimization, statistics and machine learning to deliver end-to-end solutions at scale. Previously at United Airlines he translated optimization and ML into tangible operational gains—from dispatcher scheduling and demand forecasting to fleet retirement strategy and spill/recapture models across millions of itineraries. His early research produced multiple top-journal publications on hazmat routing and risk-aware network design, reflecting a strong foundation in rigorous methods that inform practical decisions. Based in San Francisco, he is comfortable shipping production systems that bridge theory and deployment, and has a track record of squeezing extra value from messy, real-world data and constraints.
11 years of coding experience
Bachelor of Science, Control Science of Engineering, Bachelor of Science, Control Science of Engineering at Huazhong University of Science and Technology
Doctor of Philosophy (Ph.D.), Operations Research, Doctor of Philosophy (Ph.D.), Operations Research at SUNY at Buffalo
English, Chinese