The Institute consists of 12-15 research groups, including faculty and LSI Fellows. All tenured and tenure-track faculty in the Institute have appointments in one of the university's departments; among them are molecular biology, ecology and evolutionary biology, physics, chemistry, computer science, and chemical and biological engineering, and potentially others.
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Research: Cell Biology, Genetics, Functional Genomics, Technology Development -
Research: Evolutionary genomics & adaptation -
Research: Evolutionary genomics, study of human adaptation, functional genomics. We study how genes interact with each other and their environment to shape variation between individuals. -
Research: Theoretical Biophysics; Neurobiology -
Research: Cell and Developmental Biology, Computational Biology, Genetics and Genomics -
Research: Biophysics, Quantitative approaches to systems and developmental biology. -
Research: Evolutionary genomics & adaptation; the genetic and ecological factors that shape social behavior -
Research: How noncoding regions of the genome function to control the differential patterns of gene expression, both spatial and temporal, that define cell behavior. -
Research: Molecular mechanisms of aging -
Research: Computational biology, functional genomics, single-cell technologies, immunology -
Research: Quantitative and comprehensive understanding of metabolism. -
Research: Experimental biophysics; cell shape and collective motility; animal behavior and neuroscience; musical instrument design -
Research: Experimental, theoretical, and computational studies of developmental systems. Imaging, modeling, and manipulation of dynamics in cells, tissues, and embryos -
Research: Computational molecular biology, as well as its interface with machine learning and algorithms; molecular networks, cancer, disease mutations, protein sequence and structure analysis -
Research: Statistical genetics and genomics, population genetics and genomics, applied statistics and data science -
Research: Biomedical informatics, computational biology, systems biology and functional genomics; interfacing biomedical science with machine learning, algorithms, and systems development -
Research: Biological modeling; intracellular networks; molecular biophysics -
Research: Develop and employ quantitative proteomics methods to obtain a systems level understanding of cellular organization