Thesis topic: 'Artifacts of Interpretation: Machine Learning in the Study of Literary Reception'

Galen's PhD thesis deals with the application of statistical machine learning to literary reception studies. He is particularly interested in developing rigorous, transparent, and interpretable quantitative models for humanities research.

Website: https://galen.me/