Donghao Zhu
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Lab & Startup

Studying business decisions and bringing research into practice.

Lab

Research agenda

Matching demand with service capacityA network connects customer requests with service resources. Three highlighted assignments show how a mathematical model selects matches from the possible connections.DemandCapacity

Operations Management

Model business operations to understand how system design and decision policies shape market outcomes.

From feasible decisions to an optimumA shaded polygon represents feasible decisions. A sequence of improving solutions follows a path through the region to an optimal boundary point.

Optimization Techniques

Develop models and algorithms for complex optimization problems, combining mathematical analysis, simulation, and learning.

Data-informed AI agents and strategic market interactionObserved data informs an AI agent that plans and makes business decisions. The agent exchanges proposals and responses with market participants, such as in negotiation and procurement. Market outcomes feed back into the data to improve subsequent decisions.DataAI agentMarketDecisionFeedback

AI for Business Decisions

Study data-driven decision-making and the use of agentic AI in business models and strategy, including negotiation and procurement in agentic commerce.

Startup

Ventures & consulting

(in preparation)

Our engineering team works on our own AI-driven ventures and helps companies design and implement solutions.

  • Our own ventures

    We develop AI-driven platforms and production systems for our own ventures.

  • Consulting & engineering

    Helping companies define problems, design solutions, and move from prototypes to implementation.