The New Mexico State University soil microbiologist uses molecular tools to understand how fungi are adapting to a warming world and what that might mean for global nutrient cycles.
Through groundbreaking studies on dengue and efforts to build scientific infrastructure in Latin America, the University of California, Berkeley, professor has bridged research with its benefits to society.
By revealing that animals could develop immune responses against their own tissues, the physician-scientist established an entirely new field of science.
Studying nonhuman primates, the University of Washington neuroscientist has identified important features of the neural underpinnings of learning and memory.
The plant geneticist has revolutionized researchers’ understanding of how light affects plant growth and development, and is engineering plants to combat climate change.
After an accident as a teenager, he developed the disorder. He then studied the brain to better understand his own seizures, and now plans to sail around the world to show others with the condition how to push their limits.
Working with bacteriophages and nematodes, the University of California, Berkeley, molecular biologist uncovered a role for genetic switches in early development.
A love of music and science led the marine biologist to discover that whales sing songs, a discovery that he’s since used to convince the world the animals are worth saving.
The Albert Einstein College of Medicine neuroscientist has revealed surprising functions of the brain region, such as its role in the brain’s rewards circuits and in addiction.
By bringing genetics into clinical medicine, the University of British Columbia medical geneticist helped to identify the gene mutations responsible for many rare diseases.
By unraveling the molecular underpinnings of inherited blood disorders, the Boston Children’s Hospital researcher has provided the basis for therapies now being tested for beta-thalassemia and sickle cell disease.
Developing computational tools to analyze the reams of microbial sequencing data his lab generates, the UC San Diego microbiologist is a pioneer of microbiome research.
The Carnegie Mellon computational biologist thinks machine learning algorithms can direct high-throughput experiments to solve the field’s unanswered questions.
