Juan Pablo Zaldumbide

Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision, Medical Image Analysis, Explainable AI (XAI), Federated Learning, Trustworthy AI, Multimodal Learning, Predictive Analytics, Recommender Systems, Data Engineering, Distributed Computing, Cloud Computing, MLOps, Knowledge Graphs, and AI for Healthcare. Research interests include explainable and federated artificial intelligence for medical imaging, multimodal healthcare data analysis, and trustworthy AI systems. Additional interests: Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, and applied AI in education and business.