Bo Wang
王波
Ph.D.
Assistant Professor, Department of Medical Biophysics
👥Biography 个人简介
Bo Wang is an expert in machine learning methods for multi-omics data integration and single-cell analysis. His research develops computational tools for analyzing high-dimensional biological data, including methods for patient stratification, biomarker discovery, and understanding tumor heterogeneity. Wang's work enables precision oncology through AI-driven analysis of complex biological datasets.
王波是多组学数据整合和单细胞分析机器学习方法的专家。他的研究开发了分析高维生物数据的计算工具,包括患者分层、生物标志物发现和理解肿瘤异质性的方法。王的工作通过AI驱动的复杂生物数据集分析实现精准肿瘤学。
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Multi-omics Analysis
Developed SNF (Similarity Network Fusion) for integrating multiple data types.
Single-cell Methods
Created computational tools for single-cell RNA sequencing analysis.
Representative Works 代表性著作
Similarity network fusion for aggregating data types on a genomic scale
Nature Methods (2014)
SNF method for multi-omics data integration.
📄Data Sources 数据来源
Last updated: 2026-03-05 | All information from publicly available academic sources
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