My experience in Cambridge on the ML Research Team at Dyno Therapeutics!
<p>This summer, while living with 7 other people in a <a href="https://mobile.twitter.com/thedojohouse" rel="noopener ugc nofollow" target="_blank">biotech hacker house</a> in Cambridge, MA, I interned on the Machine Learning Research team at <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 <em>in-vitro </em>(cell) <em>+ vivo </em>(animal) experimentation, they aim to develop gene vectors, known as <strong><em>capsids</em></strong>, that can safely deliver a genetic payload (a <em>gene therapy</em>) to the correct cell. Dyno specifically works on designing <strong>adeno-associated viruses</strong> (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. </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>