I am Lezhi Chen (陈乐知), currently an undergraduate student at Sichuan University.

My research interests center on hybrid modeling of complex systems. Specifically, I am working on developing scalable and actionable computational methods (primarily based on machine learning), while incorporating insights from statistical physics and applied mathematics (e.g. dynamical systems, stochastic processes) to gain a deeper understanding of living systems.

Email: chenlezhi_scu@outlook.com

Educations

• 2023.09 - 2027.06: B.E. in Automation, Sichuan University

Internships

• 2026.01 - 2026.08: Research Intern, Center for Machine Learning Research, Peking University (mentored by Prof. Peijie Zhou)

Publications

Below are the selected publications that I am deeply fond of, you can feel my taste and find my growth path from these papers:

• Qiangwei Peng*, Lezhi Chen*, Peijie Zhou, “Multiscale Supervised Unbalanced Optimal Transport Flow Matching”, under review by NeurIPS (2026) (paper) (code)

• Lezhi Chen, et al., “MOST: Modularity-Guided Domain Identification of Spatial Transcriptomics Data”, submitted (2025)