News

Joined Microsoft as a Senior Applied Scientist, working on agentic systems for customer experience applications.

Invited panelist at M3AAWG on AI-generated content, online harms, and trustworthy systems.

Defended my Ph.D. dissertation at Purdue University on reasoning capabilities of language models for detecting grooming and coercive discourse.

Received a Graduate Student Travel Grant from the Purdue Polytechnic Institute.

Delivered an ignite talk, “Bridging the Gap: Advancing AI for Detecting Covert Online Harms,” in the Digital and Social Media track at HICSS-58.

Our paper, “Examining Language Model’s Behavior with Occupation Attributes,” was accepted to COLING 2025. Paper.

Our paper, “The Reliability Paradox: Exploring How Shortcut Learning Undermines Language Model Calibration,” was accepted to HICSS-58. Paper.

Received an Outstanding Paper Award at NAFIPS 2024 for “Evaluating Language Models on Grooming Risk Estimation Using Fuzzy Theory.”

Awarded Third Place at the 2024 Purdue Polytechnic RIA Student Poster Session for “Detecting Online Grooming Risk Using Transformers.”