Dan Mazur, PhD

Machine Learning Engineer | Data Scientist | Researcher

Dan is a machine learning engineer and lapsed theoretical astrophysicist with a profound love for statistics, research computing, empirical reasoning, and learning. Based in Vancouver, BC, he specializes in transforming recent research into production-ready AI systems.

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Featured Articles

• A Recipe For AI Strategy (ODSC Featured Article)
• Fooling Fintech AIs (Grow Blog)
  • Part I - Introduction
  • Part II - How to Fool the Machines
  • Part III - Protecting your Business
• Agile For Research
• Collaborating on Data Science Models
• Statement of Data Science Philosophy
• Guide to running your own web services

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Presentations

• Improving our Teams’ Learning Cultures + slides (2024)
• ML and AI for Interstellar Colonization (2021)
• A Recipe for Training Neural Networks (2019)
• Python for High Performance Computing (2013)

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Open Source Projects

Links Clustering

Python implementation of the Links online clustering algorithm. Predicts cluster membership without needing to see the entire data set. Featured on paperswithcode.com.

DLCheck

Automated discovery of training problems in PyTorch Lightning models. Implements diagnostic checks to ensure model integrity.

hwc - The Hello World Compiler

A satirical compiler that bridges any source language to a functional program. A lighthearted take on the complexity of modern development.

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Get in Touch

Connect with me on: LinkedIn | GitHub | Twitter | Mastodon