My name is Shannon Quinn. I’m a machine learning engineer at Valo Health where I build the infrastructure the real experts need to make the next generation of lifesaving medications. I’m also a recovering academic and former associate professor of the University of Georgia. Which is ironic at some level, considering my undergraduate degree in Computer Science came from Georgia Tech (GO JACKETS).
My interests are pretty broad, but the best summary I can give is that I enjoy hacking at large-scale data science problems whose solutions help real people. Recently I’ve been getting into ways of operationalizing machine learning; reproducibility is very important to me, and anything that helps make the hidden work of preprocessing, pretraining, and even precoding explicit is a good idea in my book. Perhaps unsurprisingly, I’m a huge proponent of open source, and a big believer in open science. I try to make tools, data, and course materials all available with open source licenses, and try to give back to the open source communities whenever and however I can.
In my copious (lulz) free time, I enjoy board gaming, video gaming, and anything that involves working up a sweat: baseball, football, basketball, racquetball, cycling, hiking, and especially running.