Nate Crossette joined the JEDI algorithms team as a Computational Scientist in August of 2023. He works on incorporating background error covariances in the data assimilation process which is part of the SABER (System-Agnostic Background Error Representation) repository.

Nate completed his PhD in physics at the University of Colorado Boulder in 2022, where he worked on modeling errors in social networks. Having also worked on projects in computational plasma physics and high energy nuclear physics, Nate has experience applying computation to a wide range of scientific problems.

Outside of the office, Nate is often exploring the mountains and fly fishing. Having grown up in southeastern Pennsylvania, he also closely follows the Philadelphia Phillies.