Photography
A visual practice shaped by light, streets, landscapes, and the details that tell a story.
Lead AI Scientist
Abelardo Carlos Martinez Lorenzo
AI for Good (Development Economics)
AI researcher and applied machine learning scientist working at the intersection of natural language processing and development economics, with a strong focus on turning research advances into tools that help policymakers make better decisions.
I currently work at the World Bank, where I build large-scale machine learning systems that extract, structure, and reason over evidence from development research. My work contributes to ImpactAI, a platform that makes rigorous evidence from randomized controlled trials more accessible through information extraction, entity linking, and large language models.
My research explores how AI can augment scientific reasoning through evidence synthesis, domain-specialized language models, and computational methods that transform large corpora of academic literature into actionable insights for policy design.
Current focus
Research systems for evidence synthesis and policy intelligence.
AI leadership
Leading AI work around evidence synthesis at the World Bank through ImpactAI.
Research DNA
ACL, NAACL, COLING, AAAI, multilingual NLP, semantic parsing, and scientific information extraction.
Outside work
Travel, photography, art, and history keep the work grounded in people, place, and culture.
Outside the lab
Photography, travel, and visual curiosity
Travel
I like moving across cities, coasts, and mountain routes to learn through people, food, and place.
Art, culture, and history
Museums, architecture, and historical spaces sharpen how I think about context, memory, and design.
Profile
Abelardo Carlos Martinez Lorenzo
My work sits between research and delivery: building systems that retrieve, interpret, and synthesize scientific evidence while remaining useful for real decision-making.
I care about domain-specialized language models, structured knowledge extraction, evidence synthesis, and AI systems that make public policy more rigorous and more accessible.
- AI leadership: Leading AI work around evidence synthesis at the World Bank through ImpactAI.
- Research DNA: ACL, NAACL, COLING, AAAI, multilingual NLP, semantic parsing, and scientific information extraction.
- Outside work: Travel, photography, art, and history keep the work grounded in people, place, and culture.