Cell Biology, Genetics, Functional Genomics, Technology Development

Evolutionary genomics & adaptation

Evolutionary genomics, study of human adaptation, functional genomics. We study how genes interact with each other and their environment to shape variation between individuals.

Theoretical Biophysics; Neurobiology

Cell and Developmental Biology, Computational Biology, Genetics and Genomics

Biophysics, Quantitative approaches to systems and developmental biology.

Evolutionary genomics & adaptation; the genetic and ecological factors that shape social behavior

How noncoding regions of the genome function to control the differential patterns of gene expression, both spatial and temporal, that define cell behavior.

Molecular mechanisms of aging

Computational biology, functional genomics, single-cell technologies, immunology

Quantitative and comprehensive understanding of metabolism.

Experimental biophysics; cell shape and collective motility; animal behavior and neuroscience

Experimental, theoretical, and computational studies of developmental systems. Imaging, modeling, and manipulation of dynamics in cells, tissues, and embryos

Computational molecular biology, as well as its interface with machine learning and algorithms; molecular networks, cancer, disease mutations, protein sequence and structure analysis

The Skinnider lab develops machine-learning approaches to identify known and unknown small molecules that are relevant to human health and disease, with mass spectrometry-based metabolomics being the primary analytical technique.

Statistical genetics and genomics, population genetics and genomics, applied statistics and data science

Biomedical informatics, computational biology, systems biology and functional genomics; interfacing biomedical science with machine learning, algorithms, and systems development

Biological modeling; intracellular networks; molecular biophysics

Develop and employ quantitative proteomics methods to obtain a systems level understanding of cellular organization