Yudi Guzmán
AI Researcher Specializing in NLP, Causal ML & Responsible Generative AI
Yudi Guzmán is an artificial intelligence researcher specializing in natural language processing, causal inference, and the generation of synthetic data using large language models.
She is currently a PhD candidate at the University of Granada (Spain), where her research explores the integration of language models with econometric methods to analyze causal effects in AI-assisted annotation tasks.
Yudi also serves as an Assistant Professor and Researcher at the National University of San Marcos (Peru), where she teaches artificial intelligence, software engineering, and research methodology.
Her work integrates computational methods, statistical modeling, and experimental design to strengthen the methodological foundations of artificial intelligence research. Her interests include trustworthy and explainable AI, causal machine learning, and the responsible use of generative models in scientific research and education.
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