Hyunji (Alex) Nam

I am a final-year PhD student in Computer Science at Stanford University, advised by Dorottya Demszky and Emma Brunskill. I also collaborate with Natasha Jaques from University of Washington. My research focuses on building effective LLM assistants for complex, real-world human interactions using synthetic data augmentation and multi-agent RL post-training.

My research interests include:

• Pluralistic reward modeling and personalization post-training (ICML'26, ICLR'26)
• Evaluating LLMs in social applications (e.g., K-12 education) (EACL'26, COLM'26[1], COLM'26[2])
• Improving alignment in multi-turn interactions (EMNLP'26, NeurIPS'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).

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