About
I'm a second-year undergraduate at UC Berkeley studying Computer Science with interests in machine learning theory, generative modeling, and multimodal learning.
I've recently joined Song Lab at Berkeley Artificial Intelligence Research (BAIR) to work on probabilistic methods over deep generative models.
In my free time, I do photography, and write ballad/rock songs with {acoustic, electric} guitar, piano, and flute. Here is a compilation of my photographs.
Research Experience
- Student ML Researcher, BAIR, Berkeley, USA, May 2026 - Present
- Independent ML Researcher, Jacobs Institute for Design Innovation, Berkeley, USA, Feb 2026 - May 2026
- Student AI Researcher, LBNL, Berkeley, USA, Jan 2026 - May 2026
- Biology Research Intern, Southwest University, Chongqing, China, 2022-2025
Publications and Projects
-
Chen, S. (2026). Backtracking candidate elimination: a One-Pass algorithm for the chip testing problem.
arxiv preprint -
[ICML 2026 Workshop on AI4Science] Chen, S., Saban, N., Hargreaves, C., & Wang, H. (2026). TreeAgent: a generalizable Multi-Agent framework for automated bias labeling in forestry via compiled expert rules and Vision-Language models.
Poster Paper -
Chen, S. (2026). YXiZ: NeRF-Assisted and Deep Learning-Driven Spatial Inference for At-Home Scoliosis Detection. (GitHub)
Poster -
Chen, S. (2025). On Gendered Framing as a Latent Encoding in Technical Self Representation and Evaluation in LLMs. (GitHub)
Preprint -
Chen, S., & Yuan, Z. (2024). Biomarkers of Specific Brain Changes in Adolescents with Anxiety Disorder Based
on MRI Multimodal Data. Advances in Education Humanities and Social Science Research, 12(1), 722.
Paper
Awards
- The Jacobs Innovation Catalyst - Spark Grant | Jacobs Institute | Feb 2026
- Dean's List | UC Berkeley | Jan 2026
- Outstanding Project of the Year | Southwest University | 2025