Aivin Vicquierra Solatorio is the Program Manager for the AI for Data—Data for AI program and Senior Data Scientist with the World Bank's Development Data Group. The AI for Data—Data for AI program aims to increase the value of development data by using AI to improve the various facets of its lifecycle, including data production, documentation, dissemination, and monitoring. The program mainly focuses on transitioning development data into “AI-ready” data.
His current interests center on enabling AI applications to leverage trustworthy, “AI-ready” development data by advancing standards such as Model Context Protocol (MCP). He is passionate about mapping how development data is used across different contexts and works to improve our monitoring and understanding of data use in practice using AI. He also actively researches the potential of low-resource AI models—Small Language Models (SLMs)—to support development applications in resource-constrained environments.
Prior to his current role, he specialized in applying machine learning and AI techniques to solve economic development and operational problems. He has worked on machine learning projects in the context of climate change, logistics, digital sectors, digital skills in developing countries’ labor markets, and poverty prediction research. He is experienced in agent-based modeling (ABM) to simulate real-world policy-making scenarios, processing and analyzing massive smartphone GPS location datasets to develop risk indicators of mobility during the COVID-19 pandemic, and image processing for survey data disambiguation.
Aivin holds a master’s degree in Physics and a bachelor’s degree in Applied Physics from the University of the Philippines.