Hi, I’m Daniel
I’m Daniel Precioso, data scientist, researcher, and teacher. I hold a PhD in machine learning and have more than X years of experience across academia and industry.
I work on predictive models, optimization, and decision support systems. My projects span healthcare, logistics, energy, maritime transport, and climate risk. I like working across domains and tend to get up to speed quickly. The technical foundations transfer well, and learning the context of a new problem is usually the most interesting part.
Communication runs through most of what I do. I have presented research to specialists at the ICMS Climate Change and Insurance workshop in Edinburgh, pitched in front of a funding jury in Valencia that ranked our project first, spoken at the European Parliament, and been invited onto The Conversation Weekly podcast to talk about maritime decarbonization for a general audience. Explaining things clearly to people with different backgrounds is something I actively work on.
Teaching is one of the parts of my job I am most invested in. At IE University I deliver courses in computer programming, time series analysis, and applied mathematics. My students awarded me a Teaching Excellence Award in 2025, which I’m genuinely proud of.
My research focuses on weather routing for ships and climate risk modeling for insurance. I co-founded Canonical Green, a climate-tech startup developing maritime routing software, and work on climate impact models for the insurance sector at IE University, with results presented regularly to Vienna Insurance Group.
Browse my papers and posts, or reach out if you work on applied data or modeling problems.
