Good morning!
Welcome to the thirtieth ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[Datatudes Podcast: Pitfalls of Teaching Yourself How to Code] Join hosts MJ and Candace as they delve into the world of self-taught data science, unraveling the challenges of coding, file organization, the impact of your learning environment, and an eye-opening exploration of the notorious Stata quirk that leaves beginners stumbling.
Our Weekly Bookmarks Bar
[Event: Women in Bio] Discover the dynamic intersection of life science and AI, and its groundbreaking potential to revolutionize drug discovery at our event hosted by WIB-Seattle and Benchling. Uncover the collaborative power of biotech and tech as we explore AI-driven advancements in computational drug design, disease data analysis, and the evolving landscape of regulatory and compliance. Network with like-minded professionals over appetizers and drinks, and be part of the transformative journey towards accelerated innovation. All are invited to join this exciting event.
[Blog Post: Memory Allocation] Delve into the topic of memory allocation in this blog post. Gain insights from interactive diagrams into the challenges faced by memory management, understand the purpose of allocators, and discover techniques used to address common issues.
[Blog Post: Production AI Systems are Really Hard] Unpack the realities behind AI systems in radiology with an industry pioneer who secured one of the first FDA approvals in the field of ML + medicine. This post details the complexities, subtle nuances, and why the automation of radiologists might not be as straightforward as some technologists assume.
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory