We believe in building a community as much as we believe in building code. Come and join with us!
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We believe that the PyMC project is more than just a codebase. It is also a community that is interested not only in statistical methods and code, but also in sharing knowledge and helping others - whether they be Bayesian veterans or new to the world of open source. The purpose of this conference is to better our community, just as we better our code .
Learn MoreCreate a space and time for community members to meet eachother & interact
Record and organize the expertise and experience around PyMC
Help folks find ways to contribute to PyMC, authentic to themselves
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Ravin is a data scientist at Google where he uses data to inform decisions. He has previously worked at Sweetgreen, designing systems that would benefit team members and communities through sustainable and healthy food, and SpaceX, creating tools that would ultimately launch rocket ships.
In this tutorial we will build a COVID-19 model from scratch. Thomas is the founder of PyMC Labs, a Bayesian consulting firm, PyMC author, PhD on computational cognitive neuroscience from Brown University.
To kick off PyMCon 2020, I will provide some of the back-story of the PyMC project: where we’ve been, where we are, and where we might go. Chris Fonnesback is a Senior Quantitative Analyst in Baseball Operations for the New York Yankees.
Executive Chair
Executive Chair
Diversity Chair
Tech Committee
Marketing Chair
Program Chair
Program Chair
Program Committee
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