CHEN, Yiru

Undergraduate Student
Zhejiang University-University of Edinburgh Institute
Zhejiang University, China
Email: yiru.22@intl.zju.edu.cn
Hi there! My name is Yiru CHEN, and I am currently an undergraduate student in the Bioinformatics program at the Zhejiang University-University of Edinburgh (ZJE) Institute, Zhejiang University, China. I am pursuing a dual-award Bachelor of Science degree in Bioinformatics and am expected to graduate in 2026.
Research Interests
I am particularly interested in developing computational methods and modeling for biomedical data, including spatial multi-omics, computational immunology, and AI-driven approaches for biological data analysis. I believe critical biological insights are hiding in these complex data representations and are waiting to be discovered through innovative computational approaches.
Keywords: Spatial Multi-Omics, Computational Immunology, Computational Method Development, AI
Academic Background
I have received extensive computational biology academic training from multiple prestigious research institutions, including:
- Zhejiang University (Current institution)
- Vanderbilt University (Remote and on-site collaboration)
- Georgia Institute of Technology (Remote collaboration)
With a strong foundation in programming, statistics, and machine learning, I am passionate about bridging the gap between computational innovation and biological discovery.
Current Research Focus
I am actively engaged in several research projects involving:
- Spatial transcriptomics and metabolomics integration
- T cell receptor repertoire analysis in spatial context
- Statistical modeling and simulation of spatial transcriptomics data
- Lineage-resolved single-cell mapping with spatial data
Feel free to explore my research projects, publications, and ongoing work through this website!
news
Jan 15, 2025 | 🏆 Best Poster Presentation Award at GPB Omics & Bioinformatics Frontiers Symposium for our SpatialTCR project! |
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Jan 10, 2025 | SpatialMETA Paper Accepted |
Dec 01, 2024 | 🚀 Excited to start a new independent research project on SpatialTCR - developing an integrated platform for spatial T cell receptor sequencing!ut: post date: 2016-01-15 07:59:00-0400 inline: true related_posts: false A simple inline announcement with Markdown emoji! ![]() ![]() |
selected publications
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- Integrating Cross-Sample and Cross-Modal Data for Spatial Transcriptomics and Metabolomics with SpatialMETANature Communications, 2025
- GPB SympSpatialTCR: An integrated platform for high-resolution spatial sequencing of T cell receptor repertoiresIn GPB Omics and Bioinformatics Frontiers Symposium, 2025Co-first author, Presenting author