My wonderful colleagues Lucy and Kiran wrote a wonderful blog post about anti-patterns in Data Lake projects.
My wonderful colleagues Lucy and Kiran wrote a wonderful blog post about anti-patterns in Data Lake projects.
Productionizing machine learning/AI/data science is a challenge. Not only are the outputs of machine-learning algorithms often compiled artifacts that need to be incorporated into existing production services, the languages and techniques used to develop these models are usually very different than those used in building the actual service. In this post, I want to explore how the degrees of freedom in versioning machine learning systems poses a unique challenge. I'll identify four key axes on which machine learning systems have a notion of version, along with some brief recommendations for how to simplify this a bit. ...
I am an advisory board member of the Advancing Data Justice project, a collaboration between the Alan Turing Institute, the Global Partnership on AI (GPAI), and individuals and communities across the globe.
Youth Equity and Sexuality Lab
I advise the Youth Equity and Sexuality Lab at Suffolk University, a research lab focused on promoting positive adolescent and young adult sexuality development; preventing sexual violence; and fighting fascism, cis-hetero-patriarchy, and white supremacy.
A study of the daily lives of violent far-right actors using court records to peer inside their living spaces.
A people’s history of the removal of statues honoring racists, slave owners, and colonizers, largely during the Uprising in the Summer of 2020 following the murder of George Floyd.
I am an advisory board member of The Prosecution Project, a data-driven project studying the patterns of prosecution of extremism, terrorism, and political violence.
The opinions shared on this page do not necessarily reflect the views of any organization listed above.