Debojyoti Ghosh
About Debojyoti Ghosh
Debojyoti Ghosh is a Computational Scientist currently working at Lawrence Livermore National Laboratory, where he focuses on numerical methods for fusion plasma simulations. He has held various research positions at prestigious institutions, including the University of Chicago and Argonne National Laboratory, and has a strong background in applied mathematics and computational fluid dynamics.
Work at Lawrence Livermore National Laboratory
Debojyoti Ghosh has been employed at Lawrence Livermore National Laboratory as a Computational Scientist since 2018. In this role, he focuses on numerical methods specifically designed for fusion plasma simulations, which include both magnetic and inertial confinement fusion. His work contributes to the laboratory's mission of advancing energy solutions through research in fusion technology.
Previous Experience at Argonne National Laboratory
Prior to his current position, Debojyoti Ghosh worked at Argonne National Laboratory as a Postdoctoral Research Associate from 2013 to 2015. During his tenure, he engaged in research that enhanced the understanding of computational methods in various scientific applications. This experience built a foundation for his later work in fusion simulations.
Education and Expertise
Debojyoti Ghosh holds a Doctor of Philosophy (Ph.D.) in Applied Mathematics & Statistics and Scientific Computation from the University of Maryland College Park, where he studied from 2006 to 2013. He also earned a Dual Degree (Bachelor of Technology and Master of Technology) in Aerospace Engineering from the Indian Institute of Technology, Bombay, from 2001 to 2006. His educational background supports his expertise in high-order spatial discretization methods for hyperbolic partial differential equations and IMEX time-integration methods.
Research Contributions and Specializations
Ghosh specializes in computational fluid dynamics, with extensive experience in both compressible and incompressible flows. His research includes atmospheric flow simulations, which contribute to advancements in understanding complex weather patterns. He has developed numerical methods that are essential for solving stiff differential equations, enhancing the accuracy and efficiency of simulations in his field.
Early Career and Internships
Debojyoti Ghosh began his career with a summer internship at Infotech Enterprises in 2004, where he gained practical experience in the field. He also worked as a Graduate Research Assistant at the University of Maryland from 2008 to 2013 and as a Fellow of the Computation Institute at The University of Chicago for seven months in 2015. These roles provided him with a solid foundation in computational research and collaboration.