School of Medicine
Showing 51-60 of 392 Results
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Howard Y. Chang, MD, PhD
Virginia and D. K. Ludwig Professor of Cancer Research, Professor of Genetics and, by courtesy, of Pathology
Current Research and Scholarly InterestsOur research is focused on how the activities of hundreds or even thousands of genes (gene parties) are coordinated to achieve biological meaning. We have pioneered methods to predict, dissect, and control large-scale gene regulatory programs; these methods have provided insights into human development, cancer, and aging.
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Ajeet Chaudhary
Postdoc, Genetics
Visiting Postdoctoral Scholar, GeneticsBioI am Research Scientist at Carnegie Institute and currently visiting scholar in the Department of Genetics at Stanford University. My research focuses on understanding how plants perceive and respond to environmental and developmental cues through cell-surface receptor kinase signaling pathways. I combines genetics, proteomics, cell biology, and synthetic biology approaches to uncover mechanisms that regulate plant growth, stress adaptation, and cell wall integrity. I received my Ph.D. from the Technical University of Munich, Germany, where I studied the role of the receptor kinase STRUBBELIG in plant development and cell wall signaling. During my postdoctoral research at the Carnegie Institution for Science and Stanford University, I discovered key mechanisms by which the receptor kinase FERONIA coordinates plant growth with cellular integrity and environmental stress responses. My long-term goal is to translate fundamental discoveries in plant signaling into innovative strategies for engineering climate-resilient crops.
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Mike Cherry
Professor (Research) of Genetics, Emeritus
Current Research and Scholarly InterestsMy research involves identifying, validating and integrating scientific facts into encyclopedic databases essential for research and scientific education. Published results of scientific experimentation are a foundation of our understanding of the natural world and provide motivation for new experiments. The combination of in-depth understanding reported in the literature with computational analyses is an essential ingredient of modern biological research.
