معرفی
Xingguo Wang is a Research Assistant Professor in the Department of Agricultural Economics at Texas A&M University. He is affiliated with Texas A&M AgriLife Research and holds expertise in applied microeconomics, food policy, climate change economics, and machine learning methodologies. His work focuses on addressing societal challenges through causal inference and data-driven approaches.
Education:
- B.S. in Economics and Management Information System, University of Delaware
- Ph.D. in Agricultural Economics, Texas A&M University
Research Interests: Dr. Wang’s research emphasizes innovative methodologies to tackle issues in food policy, climate change impacts on agriculture, and land economics. His work integrates machine learning for predictive modeling and policy analysis, alongside legal frameworks affecting agricultural systems. He also explores causal inference to evaluate policy effectiveness in resource management and sustainability.
Awards/Grants: No specific awards or grants are listed in the provided text. His advisory roles or lab affiliations are not detailed here.
He is a member of Texas A&M AgriLife, contributing to interdisciplinary research and extension programs within the College of Agriculture & Life Sciences.
