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Van Savage is a professor at UCLA specializing in Computational Medicine, with a research focus on quantifying and understanding the various functions and interactions of biological systems that contribute to the extraordinary diversity observed in nature. He has studied a wide range of areas including metabolic scaling, consumer-resource interactions, evolutionary rates, the effects of global warming on ecosystems, tumor growth, and sleep patterns. A complementary aim of his research is to understand the variation between optimal averages considered healthy compared to those in diseased or disturbed states, and to analyze deviations from normal sustainable functioning. Savage strives to address these complex questions by integrating ecology, evolutionary theory, physiology, mathematical modeling, image-analysis software, informatics, and biomedical sciences. His work aims to identify optimal average properties and gather extensive data necessary to characterize key variations. Recent findings from his research reveal significant diversity in the variation of form and function, highlighting shortcomings in current models and contributing to the development of new theories that account for realistic levels of natural variation.
Department of Economics admits primarily for the PhD program.