معرفی
Hamid Nejadghorban is a Research Fellow in Econometric Modelling at University College London's Bartlett School Env, Energy & Resources. His work bridges econometrics, machine learning, and causal inference to analyze sustainable outcomes in energy and environmental policy. He has collaborated with UK government agencies like DESNZ, HMRC, and BEIS on evaluations of green technology R&D, carbon markets, and energy bill support programs.
- PhD in Economics, University of Essex
Research Interests: His expertise spans climate economics, energy innovation, green finance, and health economics, utilizing advanced econometric methods to assess policy impacts. By integrating data science tools like Python, R, and Stata, his work emphasizes reproducibility and actionable insights for non-technical stakeholders.
Teaching Contributions: Previously taught undergraduate courses at the University of Essex, including EC111 (Introduction to Economics), EC251-252 (Mathematical/Econometric Methods), and MA108/318 (Statistics I & Statistical Methods).
