Huayuchen Hua 华羽宸
Undergraduate Student @ Peking University
Yuanpei College · Mμ Lab
About Me
关于我
I am an undergraduate student at Yuanpei College, Peking University, currently working on AI for Science. My research focuses on molecular machine learning, computational metabolomics, and mass spectrometry.
I am particularly interested in integrating chemical knowledge, biological priors, and scientific reasoning into deep learning models, with the goal of building machine learning systems that better understand scientific data rather than relying solely on black-box learning.
Previously, I worked on 3D molecular generation and molecular representation learning. More recently, my research has shifted toward knowledge-guided molecular retrieval and metabolite identification from tandem mass spectra.
我是北京大学元培学院本科生,目前从事 AI for Science 方向的研究。我的工作聚焦于 分子机器学习、计算代谢组学和质谱分析。我特别关注如何将化学知识、生物先验和 科学推理融入深度学习模型,让机器学习系统能够真正理解科学数据,而不仅仅是依赖 黑箱学习。
Research Interests
研究方向
AI for Science
Building machine learning systems that can reason with scientific knowledge for molecular understanding and discovery.
Molecular Representation Learning
Learning effective molecular representations from data that encode chemical and biological information.
Mass Spectrometry
Computational approaches for tandem mass spectrum analysis and metabolite identification.
Knowledge-guided Machine Learning
Incorporating chemical, biological, and physical priors into deep learning models for scientific data.
Scientific Foundation Models
Developing general-purpose foundation models that integrate multi-modal scientific data.
News
最新动态
- Jul 2026 One paper accepted by ICML 2026.
- Jun 2026 Started research on knowledge-guided molecular retrieval.
- Nov 2025 Joined Shanghai AI Laboratory as Research Intern.
- Oct 2024 Joined Mμ Lab, Peking University.