Welcome to the sixty third 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
[New Coursera Course: Determining AI Needs] There are a ever increasing number of options, strategies and solutions for integrating AI solutions into a project. It can feel overwhelming to understand what these options entail let alone understand how to decide what solution best fits a use case.
In this course we aim to give individuals the basic info they need to make basic plans for integrating AI tools into their project.
[Event: Scientific Software Development Community Studio] We are launching as a series of events inspired by art studio classes, aimed at bringing together individuals interested in developing and sharing scientific software for feedback, collaboration, and learning. Starting February 14th and meeting bi-weekly, the initiative invites participants to publish, consolidate, document, and learn more about scientific software, enhancing their skills and contributing to the community. Click the link above to learn more and sign up!
[Opportunity: PyTorch & Transformer Models Project] We are seeking proposals for the development of a Python and PyTorch-based software package aimed at advancing transformer model architecture research for biomedical data scientists. This project calls for expertise in Python programming, package development, and machine learning, with deliverables including a flexible framework, detailed documentation, and robust testing infrastructure, to be completed within six months.
Our Weekly Bookmarks Bar
[Blog Post: Six Not-so-Basic Base R Functions] Isabella Velásquez introduces seven (due to an accidental extra inclusion) lesser-known but highly useful base R functions. The post highlights the utility and applications of each function with examples.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab 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