WELCOME
The Lewis-Sigler Institute at Princeton University was established with a mandate to create innovative research and teaching programs at the interface of modern biology and the more quantitative sciences. One impetus came from the need to deal with the explosion of information based on the genomic sequences of the human and all major experimental organisms. The other major impetus came from the realization that the most interesting and difficult problems in the quantitative disciplines, especially physics, chemistry and computer science, frequently lie in biological phenomena and applications. The Institute, housed in the Viñoly-designed Carl Icahn Laboratory, has a diverse, interdisciplinary intellectual environment. Resident faculty are also members of the following departments: Chemistry, Chemical and Biological Engineering, Computer Science, Ecology and Evolutionary Biology, Molecular Biology, and Physics. One of the goals of the Lewis-Sigler Institute is to serve as a hub for Princeton-wide interdisciplinary research programs and to provide cutting edge research infrastructure for them. Current research includes experimental and computational development of genome-scale technologies, mathematical and physical modeling, and innovative molecular imaging.
OUR FACULTY
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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: computational mass spectrometry, machine learning, computational biology, cheminformatics, metabolism and metabolomics, multi-omics -
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
