Presenter

Aditya Kashi works in the field of scalable numerical methods for scientific computing. He has experience with algorithms and software in computational fluid dynamics, numerical linear algebra, and GPU computing. His current work involves mixed precision numerical methods, sparse linear algebra on GPUs, benchmarking at scale, and the use of machine learning for solving partial differential equations. He is also interested in sustainable software development.