My experience in Cambridge on the ML Research Team at Dyno Therapeutics!

<p>This summer, while living with 7 other people in a&nbsp;<a href="https://mobile.twitter.com/thedojohouse" rel="noopener ugc nofollow" target="_blank">biotech hacker house</a>&nbsp;in Cambridge, MA, I interned on the Machine Learning Research team at&nbsp;<a href="https://www.dynotx.com/" rel="noopener ugc nofollow" target="_blank">Dyno Therapeutics</a>! Dyno is a startup aiming to design gene therapy vectors using machine learning. Using machine learning and high-throughput&nbsp;<em>in-vitro&nbsp;</em>(cell)&nbsp;<em>+ vivo&nbsp;</em>(animal) experimentation, they aim to develop gene vectors, known as&nbsp;<strong><em>capsids</em></strong>, that can safely deliver a genetic payload (a&nbsp;<em>gene therapy</em>) to the correct cell. Dyno specifically works on designing&nbsp;<strong>adeno-associated viruses</strong>&nbsp;(AAV), the most widely-used vector for gene therapies.</p> <p>Gene vectors emerged as a significant problem, primarily because biologics, or therapeutics made from a living organism, are an increasingly exciting opportunity to improve human health.&nbsp;</p> <p><a href="https://seyonec.medium.com/my-experience-in-cambridge-on-the-ml-research-team-at-dyno-therapeutics-8f68a9d33dd9"><strong>Read More</strong></a></p>
Tags: Research team