
About
Steven George Rozen serves as Professor in the Department of Biostatistics & Bioinformatics at Duke University, Durham, NC, with research focusing on computational genomics and cancer bioinformatics. His work bridges advanced statistical modeling with clinical oncology applications, particularly in mutational signature analysis and molecular profiling of solid tumors.
His academic background includes a Ph.D. from New York University (1993) and prior professorship at Duke-National University of Singapore (2015-2023). Earlier career stages featured appointments in Duke's Department of Psychiatry and Behavioral Sciences as Associate Professor and Instructor.
Rozen's research program emphasizes cancer genomics, specializing in mutational signature discovery and transcriptomic biomarker development. He has pioneered computational frameworks like mSigHdp for hierarchical Dirichlet process modeling, with applications spanning prostate, lung, ovarian, and liver cancers. His methodology development targets clinical translation, particularly for predicting cancer recurrence and therapy response.
Analysis of his 2023-2025 publications reveals three dominant thematic clusters: (1) mutational signature algorithms (40% of output), (2) prostate cancer cryotherapy outcomes (30%), and (3) molecular subtyping of gynecological/lung cancers (30%). Key journals include Nature, Cancer Research, and Briefings in Bioinformatics, demonstrating interdisciplinary impact.
No scientific awards were documented in the source material.
Student mentorship and grant funding details were not specified in the provided text, though his publication record suggests active collaboration with clinical researchers at Duke and international institutions.
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