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Paul Spellman is a Professor in the Department of Medicine at UCLA. He applies genomic computational technologies to improve human health, with a primary emphasis on improving outcomes for cancer patients. His work spans the phases of technology and method development, application of technologies to answer critical questions in cancer biology, and conducting population studies to understand the impact of genetic variation on disease. Currently, his funded research focuses on the systematic analysis of gene regulation in clinical cohorts, which is part of the Genome Data Analysis Network, as well as implementing genetic health screening trials for hereditary breast and ovarian cancer syndromes. His research interests include polygenic risk implementation modeling, precision medicine, and understanding the molecular biology of cellular replication.
Department of Economics admits primarily for the PhD program.