- Cancer Modeling
- DNA Methylation
- Epigenetics
- +۳ مورد دیگر
Kimberly Siegmund, PhD, is a Professor of Population and Public Health Sciences at the University of Southern California. She serves as Associate Chief of Education in Biostatistics, integrating advanced statistical methodologies with biomedical research. Her work focuses on cancer modeling, DNA methylation, and epigenetic data analysis in human diseases, particularly in prostate cancer, bladder cancer, and pediatric leukemia. Dr. Siegmund’s research combines mathematical and computational approaches to understand tumor growth, metastasis, and the impact of environmental factors on epigenetic profiles. Her research interests include the development of statistical models for high-dimensional data, epigenetic biomarker discovery, and the role of DNA methylation in disease progression. She has contributed significantly to understanding the epigenetic mechanisms underlying cancer heterogeneity and has pioneered methods for analyzing mutational signatures in tumors. Dr. Siegmund’s publications span over three decades, addressing topics such as epigenome-wide association studies, the impact of smoking and air pollution on methylation patterns, and the application of statistical frameworks to cancer epidemiology. Her work often bridges clinical and population-level analyses, with a focus on translational research to improve diagnostic and prognostic tools. Key collaborations include the Southwest Oncology Group (SWOG) and the Colorectal Cancer Family Registry, emphasizing her commitment to interdisciplinary cancer research. She has also developed computational tools like Methcon5 and iMutSig to advance epigenetic and mutational signature analyses.








