Bahram Jafrasteh is a Postdoctoral Research Associate with a PhD and eight years of applied research experience at the intersection of probabilistic machine learning and geosciences, now based in the United States. He has developed and deployed Gaussian process models, deep and convolutional neural networks, and meta-heuristic optimizers for real-world problems ranging from ore grade estimation and ground-penetrating radar interpretation to medical diagnostics. His work spans academia and research institutes across Europe and the US, producing publications in journals like Neurocomputing and Computational Geosciences and practical code in C++, Python, R and Matlab available on GitHub. Notably, he designed an anisotropic GP kernel and a fast C++ implementation for ore reserve estimation, reflecting a blend of theoretical depth and production-minded engineering. Colleagues describe him as curious, creative, and consistently focused on turning advanced probabilistic methods into robust, automated solutions for domain-specific challenges.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Universidad Aut贸noma de Madrid
Bachelor's degree, Bachelor's degree at University of Tehran
Master's degree, Master's degree at Isfahan University of Technology
Contributions:10 PRs, 65 pushes, 8 branches in 10 months
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Bahram Jafrasteh - Postdoctoral Research Associate