Peifeng Ruan

Peifeng Ruan is an Assistant Professor at the Quantitative Biomedical Research Center, UT Southwestern Medical Center (UTSW), where he leads a research lab focused on developing statistical and computational methods for multi-omics data analysis. He completed postdoctoral training in Biostatistics at Yale University and holds dual PhDs in Biostatistics from The George Washington University and Computer Science from Fudan University.

Education:

• Ph.D. in Biostatistics, The George Washington University (2016–2020)
• Ph.D. in Computer Science, Fudan University (2010–2015)
• M.A. in Statistics, Columbia University (2011–2012)
• B.S. in Applied Mathematics, Fudan University (2006–2010)

His research centers on multi-omics integration, statistical analysis of network data, and high-dimensional data analysis, with applications in complex diseases such as cancer and heart disease. He develops novel algorithms to improve gene prioritization, disease subtyping, and epigenetic biomarker discovery.

The recent publications show a strong trend in integrative multi-omics, proteomics platforms, and computational tools for disease modeling. His work spans methodological innovation and clinical application, particularly in kidney failure, pulmonary fibrosis, and cancer. He has contributed to large-scale studies involving patient cohorts like CRIC and CERES.

Scientific Software Developed:

• DiSNEP: Enhances disease-specific gene network analysis.
• abSNF: Boosts similarity network fusion using association signals.
• NEpiC: Identifies epigenetic biomarkers using network-assisted methods.

He mentors a team of researchers including a postdoctoral researcher, PhD students, and a scientific programmer. His work is supported by collaborations across institutions and involvement in large NIH-funded cohort studies. While no formal awards are listed in the provided text, his publications in high-impact journals reflect strong recognition in the field of computational biomedicine.