Introduction Proteins are nature's versatile nanomachines— they have evolved to perform virtually every important task in living systems. While nature has produced an incredible range of protein functions, these represent only a tiny fraction of what's possible in the protein universe. Evolution has only explored

Protein “language” is a lot like human language. Given the similarities, researchers have been building and training language models on protein sequence data, replicating the success seen in other domains, with profound implications. In this post, I will explore how transformer models have been applied to protein data

Lately, I've been experimenting with interfaces for large language models (LLMs) in my free time. The fruit of this labor is something I'm calling "curie," an exploratory and sense-making tool designed to navigate complex topics. 0:00 0:34 1× the limitations of

When the human genome project was deemed “complete” in 2003, it was met with incredible fanfare. The entire project leading up to that moment had all the drama to keep its audience enthralled. Fierce rivalry between a public and private institution, multiple countries involved, 3.5 billion dollars

At the end of this blog post, you will be able to: Describe functional programming concepts Write functional programming code using purrr package in R If you are anything like me, you probably focused primarily on learning statistics, machine learning and programming on a smaller scale early on in your