Paul Langan
About Paul Langan
Paul Langan is the Associate Laboratory Director for Biological and Environmental Systems Science, focusing on integrating multiple scientific disciplines to enhance U.S. competitiveness in bioeconomy and sustainability.
Paul Langan - Associate Laboratory Director
Paul Langan holds the title of Associate Laboratory Director for Biological and Environmental Systems Science. In this role, he leads a research portfolio aimed at the convergence of biology, ecology, engineering, data discovery, physical sciences, and computing. His work is focused on advancing the United States' competitiveness in the global bioeconomy and promoting Earth system sustainability.
Paul Langan's Renewable Energy Collaboration
Paul Langan actively collaborates to advance renewable energy solutions. His work involves daily cooperation with colleagues to push the limits of renewable energy research. This collaboration aims to contribute to the development of sustainable energy technologies that can impact the global energy landscape.
Paul Langan's Biodiversity Research
Paul Langan is deeply involved in biodiversity research, focusing on understanding how genes influence ecosystem-level processes and how biodiversity shapes our world. His research helps in uncovering the complexities of ecosystems and contributes to the broader understanding of biodiversity's role in the environment.
Developing Novel Biodesign Tools - Paul Langan
Paul Langan works on developing novel biodesign tools and testbeds for enzyme engineering. These tools and testbeds are essential for advancing the field of synthetic biology and allow for the precise engineering of biological systems. His contributions help in making strides in biodesign and its applications.
Paul Langan's Use of Supercomputers in Research
Paul Langan applies the world’s fastest supercomputers to transform biological and environmental data into actionable knowledge. By leveraging high-performance computing, he is able to advance research in biology and environmental science, turning complex datasets into valuable insights.