Corwin was recognized for developing probabilistic mathematical models of interacting particle systems. Such models are important for understanding phenomena as diverse as crystal growth, traffic flow, noisy data, and the spread of disease within a population.
Wang was recognized for developing methods for studying the spatiotemporal organization of a microbiome and editing the metagenome of the microbiome. Using these approaches, Wang mapped the spatial arrangement of microbes in complex communities and programmed them with new functions.
“I congratulate all the laureates and finalists whose outstanding research gives us hope for the future,” Len Blavatnik, who is head of the Blavatnik Family Foundation and a member of the President’s Council of the New York Academy of Sciences, said in a statement.