[MODELING WEBINAR] -- The Bayesian Workflow, Biology Style -- With Justin Bois with Alexandre Andorra

[MODELING WEBINAR] -- The Bayesian Workflow, Biology Style -- With Justin Bois

📢 Exciting news! Join us for the third Learning Bayesian Statistics Modeling Webinar!

🔍 The Bayesian approach offers a powerful framework for handling uncertainty in data analysis. But building, evaluating, and using Bayesian models can be challenging and requires statistical skills, subject matter knowledge, and programming expertise.

🔬 This webinar will detail a complete Bayesian statistics workflow -- iterative model building, model checking, computational troubleshooting, model understanding, and model comparison.

🧪 Our guest, Justin Bois, will use the fascinating world of microtubule dynamics and kinesin proteins to emphasize the importance of deliberate decision-making throughout the workflow.

🌟 Microtubules are microscopic, hollow cylindrical structures found within cells. They are composed of tubulin protein subunits and play a critical role in various cellular processes, such as cell division, intracellular transport, and maintaining cell structure.

⚙️ Justin Bois will use this paper to conduct the analysis.

🔑 Join us and learn how to conduct an end-to-end Bayesian workflow, biology style!

🗓️ Date: August 10, 2023

⏰ Time: 5pm (17:00)

🌍 Timezone: UTC

🎙️ Our guest speaker, Justin Bois, is a Teaching Professor in the Division of Biology and Biological Engineering at Caltech, California, where he also did his PhD. Before that, he was a postdoc in biochemistry at UCLA, as well as the Max Planck Institute in Dresden, Germany.

⚽ Most importantly for the football fans, he’s a goalkeeper. A big fan of the Los Angeles football club, Justin is a also a magic enthusiast — he is indeed a member of the Magic Castle…

🎟️ Limited spots available! Register now to secure your seat, and don't miss your chance to interact live with our speakers. If you're a Patron of the Learning Bayesian Statistics podcast, you can submit questions in advance.

🎁 As a bonus, patrons will enjoy early access to the webinar recordings.

👥 Feel free to invite your friends and colleagues to this open webinar. Spread the word and let's learn together! 🤝 Just share them the Topmate registration link.

Can't wait to see you there! Best Bayesian wishes 🖖

Useful references

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