Lezhi Chen

Lezhi Chen

Sichuan University

Lezhi Chen (陈乐知) is currently an undergraduate student at Sichuan University. His current research interests lie primarily on Computational Systems Biology (recently focusing on single-cell spatiotemporal dynamics) and Machine Learning (primarily focusing on Generative Models, Graph Neural Networks). He is also very interested in Statistical Physics (Complex Networks) and Applied Mathematics (Optimal Transport).

陈乐知，四川大学本科生。他目前在北京大学国际机器学习中心实习，在周沛劼老师的指导下进行细胞动力学、最优传输相关研究。他还曾是四川大学计算机学院的实习生，在琚玮老师的指导下进行空间转录组学算法、图聚类相关研究。他当前的研究兴趣主要集中于计算系统生物学，即围绕生物学问题，从计算与理论两方面展开：在计算方面，他主要关心机器学习（生成模型、图神经网络）在处理生物学大数据、模拟生物学过程中的应用；在理论方面，他主要对从统计物理（复杂网络）和应用数学（最优传输）的视角研究生物学机理感兴趣（尚在学习中，目前所知甚少哈哈）。日常生活中，他喜欢推galgame，rpg和看动漫。如果你也对上述领域感兴趣，非常欢迎随时联系，他非常喜欢和不同背景的科研工作者交流学习！

Email: chenlezhi@stu.scu.edu.cn

🔥 News

  • 2025.11:  🎉🎉 Our PREST was accepted by AAAI 2026! It is a prototype-based evidence-aware integration framework that explicitly quantifies uncertainty in spatial transcriptomics data, enabling robust spatial domain identification and clustering-friendly representation learning.

📖 Educations

  • 2023.09 - 2027.06, Bachelor’s Degree, Department of Automation, Sichuan University

💻 Internships

  • 2026.01 - now, Center for Machine Learning Research, Peking University

    Supervised by: Prof. Peijie Zhou

    Research: Trajectory Inference in Single-cell/Spatial Transcriptomics

    Tools: Optimal Transport, Flow Matching

    北京大学 国际机器学习研究中心（指导老师：周沛劼老师）

    研究问题: 单细胞/空间转录组学数据轨迹推断（生成建模）

    主要技术: 最优传输，流匹配

  • 2024.12 - 2026.02, College of Computer Science, Sichuan University

    Supervised by: Prof. Wei Ju

    Research: Representation Learning in Single-cell/Spatial Transcriptomics

    Tools: Graph Neural Networks, Contrastive Learning

    四川大学 计算机学院（指导老师：琚玮老师）

    研究问题: 单细胞/空间转录组学数据表示学习

    主要技术: 图神经网络，对比学习

📝 Publications

You can find my full publication list on my Google Scholar

2025

🎖 Honors and Awards

  • 2025.10, Individual Second-class Scholarship, Sichuan University