I am a Ph.D. candidate at Purdue University, working on Natural Language Understanding with Dr. Julia Taylor Rayz at the AKRaNLU Lab. My research focuses on semantics and reliability in large language models. The two areas I am working on are:

• Calibration in large language models during model training and fine-tuning
• Incorporating structured knowledge within computational models of language

In the summers of 2022 and 2023, I collaborated with the Knowledge, Reasoning, and Language group at Microsoft Research on document template understanding. My work focused on document template discovery and structure comprehension.

For more information regarding my work, please check out my Google Scholar.

Recent Updates

• Jan 2025 - Delivered an ignite talk, “Bridging the Gap: Advancing AI for Detecting Covert Online Harms,” in the Digital and Social Media Track at HICSS-58
• Dec 2024 - Paper on “Examining Language Model’s Behavior with Occupation Attributes” accepted to COLING 2025 - paper
• Aug 2024 - Paper on “The Reliability Paradox: Exploring How Shortcut Learning Undermines Language Model Calibration” accepted to HICSS-58 - paper