PyMC Labs

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• Data Science Lab - Hertie School@hertiedatascience.bsky.social3.11.2026 16:57

  Join our next Data Science Brown Bag event, where Dr. Juan Camilo Orduz, Principal Data Scientist at @pymc-labs.bsky.social, will explore how probabilistic programming helps researchers and data scientists tackle real-world causal inference challenges. 👉 www.hertie-school.org/en/datascien...

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• Nathaniel Forde@nathanielforde.bsky.social20.10.2026 13:10

  Looking forward to the @causalscience.org on Nov 4th-5th. I'll be speaking about mechanism design with applications to people analytics. Hope to continue the discussion there. "Front-door identification often looks impractical because mechanism design is hard.... #causal-inference #bayesian

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• ０.6B@0i6b.bsky.social2.10.2026 15:02

  I'm excited to learn about the opportunity to contribute to the Master Agentic Data Science program!

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• Gaël Varoquaux@gaelvaroquaux.bsky.social1.10.2026 18:23

  Tomorrow, I'm on the Vanishing Gradients podcast to talk about agentic science with @hugobowne.bsky.social, Shipra Arora from Bain & Company, and Luca Fiaschi from @pymc-labs.bsky.social Online live panel, with QA! 🗓️ Fri Oct 2, 1pm CEST / 7am EST ➡️ Register: numfocus-org.zoom.us/webinar/regi...

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• Andy Timm@andytimm.bsky.social14.09.2026 16:31

  Great work like Alchemize from @pymc-labs.bsky.social has illustrated that building custom kernels is a nicely shaped coding agent task with a clear validation loop. As a result, supplying your own density kernel is much easier than it sounds these days, as I discuss more in the post below.

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