Bayesian Updating: A Beginner's Guide to the Mathematics and Philosophy
A comprehensive introduction to Bayesian statistics, exploring the mathematical framework and philosophical foundations of updating beliefs with evidence.
Dr. Shihab Khan
Machine Learning Scientist | Python Developer | Open Source Contributor
I love solving hard problems leveraging Machine Learning and Software Engineering!
Featured Projects
Queensland Rail Predictive Analytics
Developed ML solutions that saved $60M in maintenance costs through predictive asset management.
LXRP Asset Optimization
Optimized bridge assets by 20%, reducing costs and carbon emissions using probabilistic methods.
Agentic AI Document Generation
Built a production AI platform with stateful LangGraph agents for autonomous document synthesis.
Featured Blog Posts
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.
Python Toolkit for Production Applications
Essential Python libraries for building production-ready applications: Pydantic for validation, Click for CLIs, tomllib for config, and proper logging.
Let's Connect
I'm always interested in new opportunities and collaborations.