Siyuan Song

My name is Siyuan Song (宋思远). I am a Ph.D. student in Psychology at Princeton University, advised by Dr. Brenden Lake and Dr. Adele Goldberg.

Before joining Princeton, I received my B.A. in Linguistics with Special Honors and Highest Honors from UT Linguistics, along with a Certificate in Applied Statistical Modeling. I was a member of the UT CompLing Group and the UT NLP community, where I was fortunate to be advised by Dr. Kyle Mahowald and Dr. Kanishka Misra.

I visited TedLab at MIT BCS in summer 2025, mentored by Thomas Clark, and worked as a Visiting Undergraduate Research Intern at CoCoDev at Harvard in summer 2024, mentored by Dr. Jennifer Hu.

Before transferring to UT in Fall 2024, I studied at the School of Foreign Languages at SJTU. There, I began working in computational linguistics under the guidance of Dr. Hai Hu and have continued collaborating with his CL Lab.

In general, my research aims to:

• Use computational models to study the mechanisms underlying first- and second-language acquisition and language processing.

• Study the roles of multimodal input and multi-agent interaction in language learning.

• Evaluate language models using scientific and cognitively motivated methods.

• Build data-efficient AI systems that learn and reason more like humans.

In my spare time, I make music, play and watch sports, and cook.