Yaniv Azani

During his fellowship at the Growth Lab,  Yaniv plans to leverage his extensive background in AI and machine learning to advance the “Atlas of Economic Complexity” project and contribute to the lab’s mission of understanding economic transformation. Drawing on his experience in technology development, international collaboration, and predictive modeling, he aims to enhance analytical capabilities to the current data the Growth Lab has collected by applying AI algorithms to large trade datasets, developing predictive models for growth and emerging industries (Like mapping the green industry supply chain to these patterns), predication of causal relationships between regions and leading industries/products, strengthen the technological infrastructure of the Atlas tool, and facilitate cross-disciplinary knowledge transfer. By integrating the power of machine learning models with rigorous research methodologies, seeking to deliver actionable new insights and enhance the decision support tools of the Atlas to catalyze shifting and collaboration across fields and industries for each region/Country.