About this Blog

There is more technical content than ever on platforms like YouTube and GitHub, but it's not always clear where to start or which workflows actually matter in practice. This blog is my way of sharing concrete, end–to–end examples from my work in geoscience, data science, and computational materials.

Many of the early posts focus on geodata science and mining—3D modeling, geostatistics, and machine learning for spatial data—reflecting my background as an exploration geologist and data scientist. As my research has evolved, I've begun to add more material on energy materials, perovskite degradation, first-principles modeling, and numerical and ML methods that bridge simulations, data, and real-world systems.

My goal is for these posts to be directly useful: code you can run, ideas you can adapt, and workflows you can plug into your own projects—whether you're working with drillhole data, perovskite simulations, or anything in between. If you'd like to share your own insights or workflows, I'd love to hear from you—reach out if you're interested in contributing.