Summary
Hamid Dashti is a computational scientist based in Chicago with 11 years of experience applying remote sensing, geospatial analysis, and Earth system modeling to climate and ecosystem challenges. He blends rigorous academic research—using optical and lidar sensors with big-data techniques—with practical delivery of climate and environmental solutions for diverse clients. His career spans NASA-funded Arctic and boreal projects, hyperspectral and lidar work in drylands, and leadership roles optimizing HPC workflows for large-scale spatial analytics. Comfortable bridging interdisciplinary teams, he pairs a PhD in Geosciences with hands-on coding and reproducible science practices, and maintains an active GitHub presence showcasing his geospatial tooling. Colleagues value him for translating complex Earth-system theory into scalable, usable models and workflows.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Geosciences- Remote Sensing and Earth System Modeling, Doctor of Philosophy - PhD, Geosciences- Remote Sensing and Earth System Modeling at Boise State University
Bachelor's degree, Natural Resources Engineering, Bachelor's degree, Natural Resources Engineering at Gorgan University of Agriculture and Natural Resources
Master's degree, GIS and Remote Sensing, Master's degree, GIS and Remote Sensing at Shahid Beheshti University