Master's student at the Language Technologies Institute (LTI), Carnegie Mellon University, aiming to develop large language models that go beyond surface-level fluency toward genuine human-like intelligence.
Research spans NLP, Computational Social Science, and HCI, focusing on:
1. Anthropomorphism as a modeling dimension: how training objectives, architectures, and interfaces shape human-like traits in LLMs;
2. Anthropomorphism for applications: leveraging emotional resonance, persona consistency, and contextual memory to improve LLM performance in education, therapy, and collaborative writing;
3. Architectures for synthetic human-likeness: designing memory modules, affective simulation, and multi-modal grounding for interactive, situated AI agents.
Ultimate goal: building authentic AI companions to address global loneliness and disconnection.