Paul Spellman

Paul Spellman is a Professor in the Department of Human Genetics at the David Geffen School of Medicine, University of California, Los Angeles (UCLA). His research program focuses on applying genomic and computational technologies to improve human health, with particular emphasis on improving outcomes for cancer patients. His laboratory's work spans the entire spectrum from technology and method development, to application of these technologies to answer critical questions in cancer biology, to population studies examining the impact of genetic variation on disease, and to implementation trials that directly impact patient health.

Dr. Spellman's research interests prominently include Cancer Biology, Genetics, Genomics, Precision Medicine, and Computational Biology. His laboratory is currently engaged in systematic analysis of genetic and gene regulation information in clinical cohorts as part of the Genome Data Analysis Network, and a clinical trial implementing genetic health screening for hereditary breast and ovarian cancer and Lynch syndromes. Additional areas of active investigation include polygenic risk implementation and modeling, precision medicine approaches, and understanding the molecular biology of cellular replication.

Analysis of Dr. Spellman's recent publications reveals a strong focus on cancer genomics, with particular emphasis on tumor heterogeneity, liquid biopsy technologies, and computational approaches to understanding cancer evolution. His research spans multiple cancer types including breast, prostate, pancreatic, and renal cancers, with significant contributions to The Cancer Genome Atlas project. His work increasingly integrates population health perspectives with molecular analysis to bridge the gap between basic science discoveries and clinical implementation.

Dr. Spellman has made significant contributions to the field through his leadership in large collaborative projects and his extensive publication record. His research has been consistently funded, supporting both basic science investigations and translational clinical applications.

As a mentor, Dr. Spellman has advised numerous students and postdoctoral fellows who have gone on to establish their own research programs. His laboratory provides training in both computational and experimental approaches to cancer genomics, preparing the next generation of researchers to tackle complex problems at the intersection of biology and data science.