The overall goal of our work is to solve biological problems using quantitative methods from bioinformatics, statistical physics, data sciences, statistics, computer science, and mathematics. We apply these computational methods to build predictive network models of molecular and cell-cell interactions, to support cancer precision medicine, and to make discoveries in structural and evolutionary biology.
The Whitman lab is interested in how signals are transduced into highly specific biological responses during embryogenesis, during physiological responses of an organism to stress or damage, and during the development of various disease pathologies.
Our laboratory is interested in nutrient sensing in mammalian cells and how it connects to the transcriptional machinery to control gene metabolic regulatory networks.
The Haigis laboratory focuses on the molecular regulation of mitochondrial functions during aging and age-related disease. Our goal is to investigate how pathways that control aging, such as sirtuins, impact mitochondrial fuel utilization, bioenergetics and signaling. To achieve these objectives, we take a multidisciplinary approach that employs biochemical, cellular, and mouse modeling experiments to systematically dissect the mitochondrial pathways of interest.
Our laboratory is presently studying the regulation and mechanisms of protein breakdown in animal and bacterial cells.
Our laboratory is investigating the cellular processes and pathways that are involved in normal morphogenesis of epithelial tissues as well as those involved in the initiation and progression of epithelial tumors.
Using molecular and genetic approaches, we are examining how various signals are integrated in undifferentiated cells in order to dictate cell fates and ultimately influence morphogenesis. Our main experimental system is Drosophila, but we are interested in exploiting this system as a tool to explore human biology and understand the underlying mechanisms of pathologies such as cancer.