Homepage of Zhangyue Shi

Bio

I am Zhangyue Shi, a data scientist at Bayer R&D Services LLC (Bayer Crop Science), where I lead AI/ML research projects applying deep learning, large language models, and agentic AI to accelerate crop breeding decisions at production scale. I architected and deployed a multi-agent AI research pipeline using LangGraph and Google ADK, and fine-tuned DNA language models (DNABERT) for large-scale genomic prediction. I obtained my PhD at the School of Industrial Engineering & Management with a minor in Statistics, Oklahoma State University, advised by Prof. Chenang Liu, where my research focused on data analytics-based quality assurance for smart manufacturing. I obtained my Bachelor’s degree in Mechanical Engineering from Xi`an Jiaotong University, China.

Research Interests

  • Enterprise AI and agentic AI system design for business and scientific applications
  • AI-driven decision support across industry domains (precision agriculture, manufacturing, healthcare)
  • Anomaly detection, process monitoring, and incremental learning for smart manufacturing
  • Large language models and generative AI for genomic prediction and data augmentation

Education

  1. Oklahoma State University
    Ph.D. major in Industrial Engineering and Management, minor in Statistics (Aug 2019 - Jul 2023)
  2. Xi`an Jiaotong University
    B.Eng. in Mechanical Engineering (Aug 2015 - Jun 2019)

个人简介

我是石章汋,拜耳研发服务有限公司(拜耳农作物科学)的数据科学家,主导AI/ML研究项目,将深度学习、大语言模型及智能体AI应用于大规模作物育种决策。我设计并部署了基于LangGraph和Google ADK的多智能体AI研究流水线,并对DNA大语言模型(DNABERT)进行了微调以支持大规模基因组预测。我在俄克拉荷马州立大学工业工程与管理学院取得博士学位(统计学辅修),导师为刘晨昂教授,博士期间研究聚焦于面向智能制造的数据分析质量保证。本科毕业于中国西安交通大学机械工程专业。

研究方向

  • 企业AI与智能体AI系统设计:面向商业与科学应用的智能体系统架构
  • AI驱动的决策支持:跨行业领域应用(精准农业、制造业、医疗健康)
  • 异常检测、过程监控与增量学习:面向智能制造的在线学习方法
  • 大语言模型与生成式AI:用于基因组预测与数据增强

教育背景

  1. 俄克拉荷马州立大学
    博士 工业工程与管理专业(统计学辅修),2019年8月 - 2023年7月
  2. 西安交通大学
    工学学士 机械工程专业,2015年8月 - 2019年6月