Nima Boscarino 🍄🌛✨

About Me

I'm an AI Ethics Engineer based in Vancouver, Canada. These days I work on all kinds of funky machine learning things over at Hugging Face! I have a B.Sc. in Computing Science from SFU, with a minor in Education (Curriculum and Instruction), and in the Fall of 2023 I'll start a PhD in Science Studies at UC San Diego! I love work that blends my interests in technology ethics, education, and social justice.

Previously, I was a Machine Learning Software Engineer at Borealis AI, an educator at a bootcamp and a non-profit, and a contractor for various local start-ups.


The best way to contact me is via email at nima (at), but you can also find me on LinkedIn.

You can follow me on Mastodon over at If we know each other, I also have a private account for friends over at

If you're a junior developer (or just someone entering the tech sector) feel free to reach out! I love helping people scope out personal projects, practice for tech interviews, and learn new technologies.


Federated learning and Indigenous genomic data sovereignty

Boscarino, N., Cartwright, R.A., Fox, K., Tsosie, K.S. Federated learning and Indigenous genomic data sovereignty. Nat Mach Intell 4, 909–911 (2022).

Indigenous peoples are under-represented in genomic datasets, which can lead to limited accuracy and utility of machine learning models in precision health. While open data sharing undermines rights of Indigenous communities to govern data decisions, federated learning may facilitate secure and community-consented data sharing.