Hi, I’m Dan Shiebler. I’m a Staff Machine Learning Engineer at Twitter Cortex in New York. My work focuses on developing systems and models to improve the performance and efficiency of Machine Learning at Twitter. I Tweet @dshieble.

I’m also a (remote) PhD student at the University of Oxford. My research focuses on applications of Category Theory to Machine Learning. I am jointly advised by Jeremy Gibbons and Cezar Ionescu.

Previously, I worked as a Data Scientist at TrueMotion in Boston. Before that, I studied Computer Science and Neuroscience at Brown University. I’ve also spent some time doing Computational Vision research with the Serre Lab and Neurosurgery research with the Asaad Lab. My linkedin and github are usually somewhat up-to-date.

In my spare time I like to read fantasy novels and non-fiction, play guitar terribly, ride my bicycle, hike, and travel.