Introduction to Structural Reliability: A Data Science Perspective
An introduction to structural reliability from a data science perspective, exploring probabilistic approaches to structural safety assessment
Machine Learning Scientist | Python Developer | Open Source Contributor
I love solving hard problems leveraging Machine Learning and Software Engineering!
Developed ML solutions that saved $60M in maintenance costs through predictive asset management.
Optimized bridge assets by 20%, reducing costs and carbon emissions using probabilistic methods.
Core developer of PySTRA, contributing 3500+ lines of code for structural reliability analysis.
An introduction to structural reliability from a data science perspective, exploring probabilistic approaches to structural safety assessment
A comprehensive introduction to Bayesian statistics, exploring the mathematical framework and philosophical foundations of updating beliefs with evidence
A comprehensive guide to ImageMagick, the powerful FOSS image processing utility, with practical examples and code snippets
I'm always interested in new opportunities and collaborations.