Summary
Petar Bursać is a geoinformatics researcher-practitioner with eight years of experience blending academic rigor and industry delivery across geodesy, spatial data science, and remote sensing. Currently a PhD candidate and former teaching assistant at the University of Belgrade, he applies data mining and machine learning to spatio-temporal problems and processes Earth observation data—especially UAV-derived imagery—from sensor calibration through analysis. He advises clients through his consulting practice and contributes operational geospatial and weather-data engineering for parametric insurance solutions at Riskwolf, demonstrating a rare mix of research, product-focused analytics, and deployment experience. Petar’s portfolio spans national research projects and EU-funded-like initiatives (e.g., CERES), and he is comfortable coding in R and building interactive tools (Shiny) to turn complex spatial models into usable insights. Based in Belgrade, he combines a strong academic foundation with hands-on sensor and data pipeline work, often bridging the gap between experimental methods and real-world geospatial applications.
8 years of coding experience
Doctor of Philosophy - PhD, Geodesy and geoinformatics, Doctor of Philosophy - PhD, Geodesy and geoinformatics at University of Belgrade, Faculty of Civil Engineering