Christopher Hench

Christopher Hench was a BIDS Data Science Fellow and a PhD Candidate in German Literature and Medieval Studies at UC Berkeley from 2017 to 2018. He studied computational approaches to the formal analysis of lyric and epic poetry, and reading soundscapes. More broadly, with a particular interest in the challenges of domain adaptation for NLP and algorithms for the detection and scoring of text reuse. Christopher was also the Program Development Lead for Digital Humanities at Berkeley and the D-Lab at Berkeley, where he collaborated in several research projects and taught Python and Git workshops. He also coordinated the modules development effort in cooperation with BIDS, D-Lab, and the Data Science Education Program DSEP.