Paper: When Rule Learning Breaks: Diffusion Fails to Learn Parity of Many Bits, accepted (oral) to NeurIPS Workshop on Structured Probabilistic Inference & Generative Modeling
Paper: Where the Score Lives: A Wavelet View of Diffusion, accepted to NeurIPS Workshop on Structured Probabilistic Inference & Generative Modeling
Paper: Origins of Creativity in Attention-Based Diffusion Models, ICML 2025 Workshop on High-Dimensional Learning Dynamics
Paper: Learning Artistic Signatures: Symmetry Discovery and Style Transfer, available on arXiv
Math Thesis: Rader's Algorithm for the Fast Fourier Transform
Blog: Score and Structure, exploring the intersections of algebraic structures and statistical inference
Classics Thesis: Quantifying the Past: Empirical Tropes in Greek Historiography
Junior Paper: Phaedrus and Fictionality, connecting Plato's Phaedrus to how technology interacts with fictionality and irony
Research Experience
Teaching Fellow: Fall 2025 - Statistics 210 – Graduate Probability I; Spring 2025 - Statistics 111 – Introduction to Statistical Inference; Fall 2024 - Statistics 110 – Introduction to Probability; Spring 2024 - Math 21B – Linear Algebra and Differential Equations; Fall 2023 - Math 21A – Multivariable Calculus
Education
A.M. in Statistics (expected May 2026), Harvard University; A.B. in Mathematics and Classics (expected May 2026), Harvard University
Background
Undergraduate at Harvard studying Mathematics and Classics, with an A.M. in Statistics through the concurrent AB/AM program. Research interests include probability theory, statistical modeling, and machine learning—especially interpretable models, stochastic processes, and the mathematics of diffusion.
Miscellany
Loves to read, bake (mostly scones and focaccia), and run (slowly!). Also a huge NYT-connections enthusiast. If you have advice on surviving your first marathon, please drop her a line!