Novel computational methods in human genetics
Faculty - PhD Program
Structure & function of the p53 tumor suppressor protein.
Growth factor regulation of gene expression.
Population and human genetics
Yeast genetics; mechanisms of genetic recombination; control of genome stability; functional genomics.
Imaging and Modeling Biology at Physical Extremes.
Evolutionary and population genetics of adaptation and disease
Molecular mechanisms of pattern formation and cellular differentiation during mouse embryogenesis; Organogenesis and regeneration of the prostate gland; Mouse models of prostate cancer.
Our laboratory aims to understand how specific circadian-regulated physiological functions (such as innate immunity, metabolism, and sleep) contribute to health and disease using Drosophila melanogaster.
Diagramming disease networks with chemical and biological tools.
Developmental genetics in Drosophila
Yeast recombination studies in Saccharomyces cerevisiae
Statistics: stochastic computation, approximate Bayesian computation, data science, computational biology, statistical bioinformatics.
Principles of cellular adaptation
We develop and apply molecular, optical and data analytic methods for multi-scale understanding of complex biological systems.
Structural biology of proteins involved in RNA processing and quality control, and enzymes involved in human diseases (obesity, diabetes, cancer).
Evolution of cell types and circuits in the vertebrate brain.
The use of Stem Cells to Study the Development and Function of the Nervous System
Ion channel structure, function, regulation, disease mechanisms and drug discovery
Development and function of the cortical microcircuitry.
Signal processing, information transfer, and coding mechanisms in sensory systems
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Business Office
Department of Biological Sciences
500 Fairchild Center
Mail Code 2401
Columbia University
1212 Amsterdam Avenue
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Academic Office
Department of Biological Sciences
600 Fairchild Center
Mail Code 2402
Columbia University
1212 Amsterdam Avenue
New York, NY 10027
[email protected]
212 854-4581