SciPy 2023

Rajeev Jain

Rajeev Jain is a Principal Research Software Specialist at the Argonne National Laboratory, located in the suburbs of Chicago, with a focus on managing multi-disciplinary simulation, scalability and computation for applications-oriented problems.

He is a quick learner who loves to solve complex problems and readily adapts to new challenges. His work encompass a range of scientific domains, from simulating physical phenomena to developing deep-learning-enabled precision medicine for cancer and providing data analysis tools for the geoscience community.

To learn more about Rajeev Jain's work and research, you can visit his profile page on the Argonne website: https://www.anl.gov/profile/rajeev-jain

LinkedIn: https://linkedin.com/in/rajeeja

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Sessions

07-13
14:20
30min
UXarray, a python library for unstructured climate and weather data
Rajeev Jain

UXarray aims to provide xarray-styled functionality for unstructured grid datasets. UXarray offers support for loading and representing unstructured grids by utilizing existing Xarray functionality paired with new routines that are specifically written for operating on unstructured grids. In this talk, we will present the current capabilities of the library: reading and writing of unstructured grids, reading of datasets along with basic grid operations and the need to speed up computations, integration operations along with details on speedups obtained by using Numba and python indexing. We will also demonstrate the use of this library for visualization of unstructured grids.

Earth, Ocean, Geo, and Atmospheric
Grand Salon C