Diogo Silva
Principal Geostatistician
Calgary, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolDiogo Silva is a Principal Geostatistician based in Calgary with nine years of experience applying advanced geostatistics and optimization to mining and petroleum resource modeling. He blends research-grade expertise from the Centre for Computational Geostatistics and industry practice at Newmont and Resource Modeling Solutions to deliver bespoke software tools for resource estimation, drill planning, and uncertainty management. A Python enthusiast who revives and experiments with code, he has a strong track record developing frameworks for categorical modeling, multivariate imputation, and geostatistical simulation on planned well paths. Diogo’s work uniquely bridges theoretical methods (truncated pluri-Gaussian approaches, Gaussian mixture imputation) with practical utilities like desurveying, grid-error management, and drill-hole optimization. He is currently leading technical efforts at Resource Modeling Solutions, translating academic methods into workflows that improve resource conversion and decision quality. Fluent in both academic research and production software development, he combines meticulous data hygiene with pragmatic engineering to tackle complex subsurface problems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Candidate, Mining and Mineral Engineering, Doctor of Philosophy (Ph.D.) Candidate, Mining and Mineral Engineering at University of AlbertaBachelor's degree, Mining Engineer and Mineral Processing, Bachelor's degree, Mining Engineer and Mineral Processing at Universidade Federal de Minas Gerais
Portuguese, English, Spanish
Github Skills (6)
python-lib5
sensitive-data4
code-security2
secrets-detection2
javascript2
git2
Programming languages (1)
Github contributions (5)
digo5ds/localworkhive
Jun 2025 - Jul 2026
Contributions:7 pushes, 1 branch, 4 issues in 1 year 1 month
digo5ds/pygitguard
Jun 2025 - Jul 2025
PyGitGuard is a Git security scanner designed to prevent accidental commits of sensitive data by scanning for:
Contributions:2 releases, 5 PRs, 4 pushes in 1 month
code-securitycredentials-scannercredentials-verificationexposed-credentialspassword-detection
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