Daniel Ortiz-Martínez is an associate professor at the University of Barcelona with 12 years of experience bridging machine learning, data science, and natural language processing in both academic and translational biomedical contexts. He holds a PhD in Pattern Recognition and Artificial Intelligence and has contributed to major EU-funded projects like CASMACAT and MIPRCV, publishing over 50 papers and co-supervising doctoral research. His work spans teaching core programming and algorithms to coordinating an NLP course for UB’s Master in Data Science, reflecting strong pedagogy alongside research. Daniel has applied statistical and machine learning methods to cancer and genomics studies during postdoctoral roles at IDIBAPS and IRB Barcelona, translating methods into real-world biomedical insights. An active open-source maintainer, he builds AI/ML toolkits that support reproducible research and practical deployments—an intersection of rigorous academia and production-minded engineering. Based in Barcelona, he combines deep technical foundations with experience reviewing European research grants, giving him a strategic view of research impact and funding landscapes.
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