About Me

I’m a Computer Science PhD candidate studying how machines understand language, narratives, and meaning.

My work spans natural language processing, multimodal systems, and representation learning. I’m particularly drawn to problems where structure matters: aligning sequences, modeling latent signals, understanding robustness, and designing systems that behave reliably under distribution shifts. I enjoy thinking about the mechanics behind learning systems - how objectives shape behavior, how representations encode bias, and how small modeling decisions scale into large effects.

Research Interests

My current research explores opinionated and persuasive language in news. I also study propaganda detection and how people perceive trustworthiness across news sources.

I am especially interested in machine learning and large language models, with emphasis on robust domain adaptation for practical NLP systems.

Experience

Since March 2026

Truveta - Machine Learning Engineer

Summer 2025

Truveta - Machine Learning Engineer Intern

Selected Projects

  • Detecting Subjective Language in News
  • Zero-shot Stance Detection in News and Social Media
  • Sensitive Narrative Analysis: Common Patterns in Domestic Violence Stories

Publications

Full list on Google Scholar.

Teaching

Fall 2026: Natural Language Processing at Hunter College, City University of New York

Interests

Outside research, I enjoy books, films and shows, tennis, football, podcasts, and traveling.