Summary
Pablo Larraondo is a founder and technical leader with 12 years’ experience building large-scale data processing and machine learning systems for Earth observation and atmospheric science. As Managing Director of Haizea Analytics and a Research Fellow at ANU, he blends product-focused AI development with academic rigor to turn satellite and weather data into practical environmental insights. His background spans operational meteorology at AEMet and numerical weather prediction at ECMWF to HPC and big-data engineering roles, giving him rare end-to-end expertise from sensors and supercomputers to production analytics. He holds a PhD (Cum Laude) in Computer Science and has applied deep neural networks to forecasting and landscape dynamics, routinely working at the intersection of research and industry. Known for translating complex geoscientific problems into deployable ML pipelines, he prioritises data accessibility, reproducible processing, and visualisation that drives decision-making. Based in Canberra, he runs an AI-driven company purpose-built to scale Earth-observation impact beyond academia.
12 years of coding experience
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Universidad Pública de Navarra
Doctor of Philosophy (PhD Cum Laude), Computer Science, Doctor of Philosophy (PhD Cum Laude), Computer Science at Universidad del País Vasco/Euskal Herriko Unibertsitatea
Spanish, English, French