Hello! 👋

My name is Amber (Yanxin) Lu, and I am a master’s student in Electrical Engineering at the California Institute of Technology (Caltech). I completed my undergraduate studies in Computer Engineering at Zhejiang University - University of Illinois Urbana-Champaign Joint Institute (ZJU-UIUC), where I spent my junior year as an exchange student at UIUC, an experience that greatly enriched my academic and practical background.

During the exchange year, I participated in the SciCode project under Prof. Hao Peng, where we developed a coding benchmark for evaluating language models’ ability to solve complex, real-world scientific problems. This work has been accepted by NeurIPS 2024. I also worked with Prof. Tong Zhang on projects aimed at improving LLMs’ reasoning abilities and evaluating LLM’s performance in research scenarios. As part of this collaboration, I co-developed DIPNet (Distributional Input Projection Network), a framework for enhancing model generalization across vision and language tasks. In Summer 2024, I interned at Lilith Games, where I worked on applying large language models to automated game testing and machine translation optimization. For my undergraduate thesis, I worked with Prof. Qiang Zhang to explore molecular retrosynthesis using LLMs.

Looking ahead, I am passionate about exploring how large language models can drive innovation in specialized domains. I am currently seeking internship opportunities for Summer 2026 or full-time positions starting in January 2027, where I can contribute to impactful, AI-driven projects.

Outside of work, my greatest joy comes from spending time with my lovable cat, Putao🍇!

Feel free to reach out if you’d like to connect or discuss potential collaborations!

Research Interest

I am interested in developing and optimizing large language models (LLMs) for real-world applications. My goal is to enhance the trustworthiness and robustness of LLMs, improving human-AI collaboration to ensure that LLMs effectively assist across diverse contexts while maintaining their reliability.

Latest News

• [Sep, 2025] Began my graduate studies at Caltech.

• [Jun, 2025] Graduated from ZJU-UIUC with High Honors!

• [Nov, 2024] Awarded the Zhejiang Provincial Government Scholarship.

• [Sep, 2024] SciCode accepted at NeurIPS 2024 Datasets and Benchmarks Track.

• [Jan, 2024] Won the Bronze Award at the 9th China International College Students’ “Internet+” Innovation and Entrepreneurship Competition for ChatScratch.

• [Nov, 2023] Awarded the Zhejiang Provincial Government Scholarship.