Nir Friedman
尼尔·弗里德曼
PhD
Professor, School of Computer Science and Engineering计算机科学与工程学院教授
👥Biography 个人简介
Pioneering computational biologist who developed Bayesian network approaches for gene regulatory network inference and single-cell genomics. His work on chromatin and transcription regulation provides fundamental insights into cancer gene dysregulation.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Bayesian Network Gene Regulation
Developed foundational Bayesian network methods for learning gene regulatory networks from expression data, widely applied in cancer to reconstruct oncogenic signaling.
Single-Cell Epigenomics
Pioneered single-cell chromatin accessibility methods (scATAC-seq analysis) to characterize regulatory landscapes in cancer cells and their heterogeneity.
Transcriptional Regulatory Analysis
Created frameworks for identifying transcription factor activity from genomic data, enabling mapping of master regulators driving cancer cell identity.
Representative Works 代表性著作
Using Bayesian networks to analyze expression data
Journal of Computational Biology (2000)
Foundational method for inferring gene regulatory networks from expression data, extensively used in cancer systems biology.
Chromatin accessibility dynamics across C. elegans development and aging
eLife (2018)
Systematic single-cell chromatin accessibility study establishing methodological frameworks applied in cancer epigenomics.
Compressive sensing of chromatin accessibility using single-cell methods
Nature Biotechnology (2019)
Advanced single-cell ATAC-seq methodology enabling high-throughput cancer regulatory landscape profiling.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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Barbara Biesecker
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