Sign In

Peter Bull

Leading the development of AI and data infrastructure for social impact

Peter Bull is a data enthusiast dedicated to leveraging data for social impact globally.

With a background in Philosophy from Yale University and a Master's degree in Computational Science from Harvard University, Peter has a strong academic foundation.

Peter is the Principal Data Scientist and Co-founder of DrivenData.org, a data science consultancy.

He previously worked as an SDET II at Microsoft, gaining valuable experience in the tech industry.

Through DrivenData, Peter collaborates with organizations to harness data for social good and nurtures a global community passionate about using data for positive change.

Highlights

Jun 3 · linkedin

For those who care about tooling for AI, we call out the tasks that—from our perspective—still are missing the "right" version for Cookiecutter Data Science. Would love your thoughts! You can find the section in our V2 announcement blog post https://buff.ly/3yBjK7f

Apr 8 · linkedin

So much work in AI fairness is theoretical. Proud to contribute a concrete analysis with real data that highlights that tradeoffs and process of actually measuring fairness. It's not simple, and we need more good examples out there. https://buff.ly/3UbboLC

Any others that come to mind for you? What did we hit well? What did we miss?

Peter Bull
Add to my network

Location

San Francisco Bay Area