DH speaker series
Over the course of three sessions, brought together six guest speakers and 60 total attendees comprising undergrads, grad students, faculty, and MILA researchers.
Culture-oriented NLP
Using word embeddings, compared protagonist word associations in book reviews on female-led versus male-led Young Adult novels to explore reader gender bias.
Data storytelling
Processed survey responses from Montreal lawyers, worked with legal clinic to create fictional migrant profiles, and calculated each profile's likelihood of receiving legal aid.
"In Words and Numbers"
Examined literary language and science communication both quantitatively and qualitatively (e.g., statistically significant words; close reading).
"Tongue In Cheek"
Tracked the representation of the tongue from a figure of speech in autobiographical slave narratives to a concretized body part in contemporary ones.
"公公"
(In poem format) wrote about the pursuit of intra-familial communication within a multi-generational immigrant family.
ML fundamentals
Implemented K-Nearest Neighbours, Decision Tree, Logistic + Multi-class Regression, and Multi-layer Perceptron models from scratch to classify textual, numerical, and image-based data.