CHEN, Yiru
Yiru's Version: 2026/08/05
BS @ Bioinformatics, ZJU-UoE 🇨🇳 🇬🇧
PhD Student @ Quantitative Biology and Medicine, Duke-NUS 🇸🇬 🇺🇸
Hi, I’m Yiru Chen.
Decoding biomedical complexity through the lens of AI and algorithms.
Download CV (PDF) PDF version: 2026.08.05 ORCID  · Google Scholar  · GitHub
Quick Background
I am a PhD student in the Quantitative Biology and Medicine (QBM) Programme at Duke-NUS Medical School, Singapore. My undergraduate training in Bioinformatics was at the Zhejiang University-University of Edinburgh Institute (ZJU-UoE), Zhejiang University.
My research interests center on spatial omics and computational immunology, with a general interest in AI for biomedicine. You can reach me at yiru_chen@u.duke.nus.edu or yiru2chen@gmail.com.
Short research statement
I develop algorithmic and statistical frameworks for spatial omics, computational immunology, and biomedical AI. My current work centers on multimodal integration, spatially resolved T-cell receptor analysis, simulation of spatial transcriptomics, and rigorous evaluation of computational methods. Across projects, I aim to turn mathematical modeling and machine learning into practical tools for decoding complex biological systems.
Publications
†Equal contribution. * Corresponding author.
Preprints
- From Parameter Clouds to Virtual Slices: Layout-Aware Simulation and Benchmark Construction for Spatial TranscriptomicsPreprint, 2025
Publications
2026
- Integrative Inference of Spatially Informed Cell Lineage Trees using LineageMapIn RECOMB 2026 Proceedings, 2026
2025
- A Pan-Disease and Population-Level Single-Cell TCRαβ Repertoire ReferenceCell Discovery, 2025
- Integrating Cross-Sample and Cross-Modal Data for Spatial Transcriptomics and Metabolomics with SpatialMETANature Communications, 2025
Presentations and Posters at Conferences
- SpatialTCR: An Integrated Platform for High-Resolution Spatial Sequencing of T Cell Receptor RepertoiresIn GPB Omics & Bioinformatics Frontiers Symposium, 2025Yiru Chen (presenter)