Christopher is a PhD candidate in German Literature and Culture and Medieval Studies. He holds a BA in German and Economics from Middlebury College (2011), and an MA in German and Scandinavian Studies from the University of Massachusetts Amherst (2014). While in Massachusetts, Christopher worked at the DEFA Film Library helping with productions and subtitling films. Christopher also taught English on a Fulbright in Lübeck. Christopher’s research interests are primarily in medieval epics and Minnesang, economic thinking and literature, and tools of the Digital Humanities. One project he is currently working on is SyllabiPy, a Python program that syllabifies historical languages. He hopes to implement SyllabiPy to discover medieval poets' unique use of sound through language.
Estes, Alex, and Christopher Hench. “Supervised Machine Learning for Hybrid Meter.”
Proceedings of the Fifth Workshop on Computational Linguistics for Literature, NAACL-HLT 2016, 2016, 1.