Jorrel Aunario is a geospatial programming and database management specialist with 17 years of experience applying R, Python, statistical analysis, and GIS to agricultural and satellite data challenges. At the International Rice Research Institute he leads development of spatially and temporally explicit models to map global rice temperature-stress hotspots and manages the underlying climate, crop calendar, and remote-sensing datasets. He has architected systems to run crop models at global/regional scale, contributed to rice mapping software and web applications, and oversees documentation and reporting of complex model results. Trained in statistics and computer science from the University of the Philippines, he blends rigorous quantitative methods with production-grade data pipelines. Notably, his work ties satellite-derived observations to operational decision tools for a staple crop, making research directly useful for global food security. Based in Calabarzon, Philippines, he combines deep domain expertise with practical software engineering to deliver reproducible, scalable geospatial solutions.
17 years of coding experience
3 years of employment as a software developer
B.S. Statistics, Statistics, Computer Science, B.S. Statistics, Statistics, Computer Science at University of the Philippines
A suite of R packages and apps for mapping rice (Oryza sativa)-related information. This includes use of satellite imagery to find where and when rice is planted, potential biotic and abiotic stresses.
Contributions:4 PRs, 27 pushes, 4 branches in 5 years 6 months
satellite-imagerysatelliterstatsimagerymapping
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