Hyunji (Alex) Nam

I am a final-year PhD student in Computer Science at Stanford University, advised by Dorottya Demszky (NLP/Education) and Emma Brunskill (Reinforcement Learning). I also collaborate with Natasha Jaques at University of Washington. My research focuses on developing algorithms and evaluations for social applications of large language models, such as personalization and support for K-12 math education. I am excited about applying reinforcement learning methods and collaborating with domain experts (in education) to build pluralistic and aligned LLM applications.

My research interests include:

• Aligning language models with diverse user preferences (ICML'26, ICLR'26)
• Evaluating language models in education and multi-turn user interactions (EACL'26, COLM'26)
• Improving models for teaching assessment and tutoring (COLM'26, NeurIPS Multi-turn Workshop'25)

Previously, I completed my B.S. with honors in Computer Science at Stanford, working with Chelsea Finn. I also interned at Amazon (2024), Netflix (2025), and Google Deepmind (2026; present).

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