Photo: Chris Albon

Chris Albon

Director of Machine Learning
Connect with Chris

Chris has spent over a decade applying statistical learning, artificial intelligence, and software engineering to political, social, and humanitarian efforts. He is the Director of Machine Learning at the Wikimedia Foundation. Previously, he was the Director of Data Science at Devoted Health, Director of Data Science at the Kenyan startup BRCK, cofounded the AI startup Yonder, created the data science podcast Partially Derivative, was the Director of Data Science at the humanitarian non-profit Ushahidi, and was the director of the low-resource technology governance project at FrontlineSMS. He also wrote Machine Learning For Python Cookbook (O'Reilly 2018) and created MachineLearningFlashcards.

Conference Sessions

Panel Discussion
2022  TWIMLcon
Case Study
2022  TWIMLcon
An in depth review of how machine learning is used by the Wikimedia Foundation to support Wikipedia.
Keynote Interview
TWIMLcon  2021
In this interview, Sam and Chris Albon discuss ML use cases at Wikimedia, the evolution of the organization’s ML infrastructure, their use of Kubernetes and Kubeflow to support the ML workflow, and their ultimate plans to make this infrastructure available to the broader Wikimedia community.