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

• May 2024 - Received Outstanding Paper Award at NAFIPS 2024 for our paper titled “Evaluating Language Models on Grooming Risk Estimation Using Fuzzy Theory."- (preprint coming soon)
• April 2024 - Awarded Third Place at the 2024 Purdue Polytechnic RIA Student Poster Session for our work titled “Detecting Online Grooming Risk Using Transformers.”
• January 2024 - Presented a position paper at the HICSS 2024-SDPS workshop titled “Learning Shortcuts: On the Misleading Promise of NLU in Language Models” - preprint