基于计算设计科学，开发并优化供应链数智化运营算法模型，解决供应链中涉及的采购、生产、销售，物流与库存等复杂运营问题。探索强化学习、图神经网络、预测模型等方法在供应链智能运营中的应用，推动供应链运营效率与可持续发展。

Rooted in computational design science, we develop and optimize digital intelligence operation algorithm models for supply chains to tackle complex operational challenges in procurement, production, sales, logistics, and inventory management. By delving into the application of reinforcement learning, graph neural networks, predictive modeling, and other methodologies in intelligent supply chain operations, we drive efficiency improvements and sustainable development in supply chain management.

领域：算法设计与优化、数智化供应链、预测建模与强化学习

Topics : Algorithm design and optimization, intelligent supply chain operations, predictive modeling, and reinforcement learning.