معرفی
Daniel Precioso Garcelán is an adjunct professor of Applied Mathematics at IE University, specializing in teaching computer programming and data science. He holds a PhD in Data Science from the University of Cádiz and has extensive experience in applying machine learning to sustainability challenges, particularly in the Blue Economy. His research focuses on weather routing optimization for maritime shipping and sustainable fishing practices. He co-founded Canonical Green, a startup leveraging data science for ecological transition. Daniel has won accolades including 2nd place in the OpenCV AI Competition 2021 and the Ocean Hackathon 2021. His academic journey includes roles as a postdoctoral researcher, data scientist at Komorebi AI, and collaborations with institutions like Dalhousie University.
- Education:
- PhD in Data Science, University of Cádiz (2019–2023)
- MSc in Statistical and Computational Information Processing, Universidad Politécnica de Madrid (2018–2019)
- Bachelor's in Physics, Complutense University of Madrid (2014–2018)
His research interests span machine learning applications in oceanography, healthcare algorithms (e.g., NeoCam neonatal monitoring system), and pandemic modeling. Daniel emphasizes the synergy between theoretical mathematics and practical programming, preparing students for roles in industries like ecological transition, healthcare, finance, and Industry 4.0.
