Recommending Energy Retrofits at the Neighborhood Level

We use EnergyPlus™ simulations and neural networks to recommend energy efficiency retrofits across neighborhoods rather than just individual buildings.

Collaborators: Jorge Silveyra, Chetan Tiwari

Interpreting Regression Neural Networks with Linear Surrogates

I investigate when linear models fail to faithfully represent neural networks and propose the λ-score as a diagnostic; high surrogate fidelity ≠ accuracy.

Thesis: Detecting French Idioms

My honors thesis will investigate how theoretical accounts of idiomatic language can be translated into computational models. Using a new French idiom corpus, I will explore how linguistic dimensions of idiomaticity—such as semantic opacity, syntactic flexibility, and conventionality—can be operationalized for natural language processing.

Advisors: Sofia Serrano

Aller de soi : les idioms face au modèle saussurien [Taking it for Granted: Idioms verses the Saussureian Model]

This independent study in the French program examines idiomatic language through the lens of modern linguistic theory. Focusing on French idioms, I analyze the limitations of Saussure's structural model in explaining idiomatic meaning and explore how more recent linguistic frameworks provide a foundation for future computational models of idiomaticity.

Advisors: Maria Hernandez