Research, final projects from courses, and exposition.

Machine Learning

• Referral Augmentation for Zero-Shot Information Retrieval (research @ Princeton NLP Group)
• Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning
• Towards Generalized Control: On-the-Fly On-Topic Generation
• DroneFormer: Controlling Drones with Natural Language (TreeHacks 2023 Moonshot Grand Prize)
• RePEAtO: Relational Paragraph-level Embeddings for Article Outlining
• Evaluating Interpretability Techniques with Human Attention in Visual Question Answering

Theory

• Transaction Fee Mining and Mechanism Design [slides]
• Log-Concave Sampling
• Spectral Graph Theory and Cheeger's Inequality

Miscellaneous

• Global, distinctive, and personal changes in molecular and microbial profiles by specific fibers in humans
(published in Cell Host & Microbe, research @ Stanford Center for Genomics and Personalized Medicine)