[MODELING WEBINAR] -- The Bayesian Workflow in Biology, with Justin Bois

📢 Here is the recording of our Bayesian Workflow in Biology webinar! Follow along with the accompanying GitHub repository: https://github.com/justinbois/learnba... 🔍 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: https://linkinghub.elsevier.com/retri... 🔑 Join us and learn how to conduct an end-to-end Bayesian workflow, biology style! 🎙️ 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… 🎟️ Liked this webinar? If you're a Patron of the Learning Bayesian Statistics podcast, you can submit questions in advance and get at least a 50% discount on future webinars (  / learnbayesstats   ). 🎁 As a bonus, patrons also enjoy early access to all webinar recordings. Useful references: Accompanying paper: https://www.cell.com/cell/fulltext/S0... Listen to Justin's story: https://learnbayesstats.com/episode/7... Follow Learning Bayesian Statistics: https://learnbayesstats.com/ Support the show on Patreon:   / learnbayesstats   Alex on Twitter:   / alex_andorra   Alex on LinkedIn:   / aandorra-pollsposition   Justin’s website: http://bois.caltech.edu/index.html Justin on GitHub: https://github.com/justinbois/ Justin’s course on Bayesian inference: https://bebi103b.github.io/ Street-fighting mathematics: http://streetfightingmath.com/ Paper with beautiful mitosis movie: https://doi.org/10.7554/eLife.38198