Agentic Data Science: How to engineer trust into Analytics and Modeling agents

🎙️ Speakers: Thomas Wiecki PhD, Luca Fiaschi, PhD, Benjamin Maier, PhD, Evan Wimpey | ⏰ Time: 15:00 UTC / 8:00 AM PT / 11:00 AM ET / 4:00 PM Berlin

The emerging field of Agentic Data Science aims to automate the entire modeling lifecycle, from hypothesis to decision. But this introduces a challenge far greater than standard code generation: It is infinitely harder to build a reliable data scientist than a reliable coder.

In software, if the code passes tests, it works. In data science, an agent can write bug-free Python that executes perfectly, yet still produce garbage inference. The challenge isn’t syntax; it’s reasoning through uncertainty, confounders, and the messiness of real-world data.

In this session, the PyMC Labs team opens the hood on how we design agents that can do reliable science. We’ll cover the engineering reality of building agents that can handle the ambiguity of modeling without hallucinating confidence.

You’ll learn:

• Why data science agents fail differently and how to catch errors when the code runs fine but the conclusions are wrong.,
• How to evaluate agentic reasoning for statistical validity, robustness, and causal consistency.,
• Practical approaches to testing, validation, guardrails, and deciding when human-in-the-loop is required,

Join us for a technical, practitioner-led discussion on deploying agentic data science that survives contact with real-world data.

📜 Outline of Talk / Agenda:

• 5 min: Introduction to PyMC Labs and speakers
• 40 min: Panel discussion
• 15 min: Q&A

💼 About the speakers:

Dr. Thomas Wiecki (Founder of PyMC Labs)
Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs - the Bayesian AI consultancy. He did his PhD at Brown University studying cognitive neuroscience.

🔗 Connect with Thomas:
👉 Linkedin: https://www.linkedin.com/in/twiecki/
👉 Website: https://www.pymc-labs.com/
https://twiecki.io/
👉 GitHub: https://github.com/twiecki
👉 Twitter: https://twitter.com/twiecki

Dr. Luca Fiaschi (PyMC Labs Partner, Gen AI Vertical)
Luca helps organizations unlock the value of data and AI. With 15+ years of experience, he’s led and scaled teams at Mistplay, HelloFresh, Alibaba, and Stitch Fix, driving breakthroughs in personalization, marketing optimization, and causal modeling. He holds a PhD in Computer Science from Heidelberg University.

🔗 Connect with Luca:
👉 Linkedin: https://www.linkedin.com/in/lfiaschi/
👉 Github: https://github.com/lfiaschi

Dr. Benjamin Maier (Principal Data Scientist)
Ben develops mathematical models of complex systems and the software frameworks used to learn from them. He has over a decade of experience across academia, government, and industry, working on large-scale statistical and mechanistic models for real-world decision-making. He holds a PhD in Theoretical Physics from Humboldt University of Berlin.

🔗 Connect with Ben:
👉 Linkedin: https://www.linkedin.com/in/benjaminfrankmaier/
👉 Github: https://github.com/benmaier

💼 About the Host:
Evan Wimpey (Director of Analytics at PyMC Labs)
Evan helps clients design Bayesian solutions tailored to their goals, ensuring they understand both the how and why of inference. With master’s degrees in Economics and Analytics, he focuses on delivering clear value throughout projects and brings a unique twist with his background in data comedy.

🔗 Connect with Evan:
👉 Linkedin: https://www.linkedin.com/in/evan-wimpey/
👉 GitHub: https://github.com/ewimpey

📖 Code of Conduct:
Please note that participants are expected to abide by PyMC's Code of Conduct.

🔗 Connecting with PyMC Labs:
🌐 Website: https://www.pymc-labs.com/
👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/
🐦 Twitter: https://twitter.com/pymc_labs
🎥 YouTube: https://www.youtube.com/c/PyMCLabs
🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/
🎮 Discord: