I am a first-year PhD student working at the University of Maryland’s Computational Linguistics and Information Processing lab, where I am advised by Philip Resnik. My (still nascent) research interests involve using interpretable unsupervised methods to study social and cultural phenomena as manifested in language.
Previously, I completed my master’s in computational statistics and machine learning at University College London, where my thesis advisors were Sebastian Riedel and Jeff Mitchell at the UCL NLP group. Before my return to academia, I was an economic consultant at The Brattle Group in Cambridge, Massachusetts, where I developed an internal document retrieval platform, built econometric models, and did a lot of work that could be broadly classified as data science (I remain an avid evangelist of R’s tidyverse over python’s pandas).
You can reach me at hoyle [at] umd [dot] edu.
|Jun 11, 2020||Starting a research internship at the Allen Institute for AI, working with Ana Marasović and Noah Smith.|
|Jul 29, 2019||Giving a talk at ACL on uncovering gendered words (slides).|
|Jun 3, 2019||Giving a talk at NAACL on our paper which uses a VAE to combine disparately-scaled sentiment lexica (slides).|
|May 16, 2019||Happy to announce that I will be joining the University of Maryland as a PhD in computer science in the fall!|