Peter Kalmus

Data Scientist, climate and remote sensing
398K - Science Data Modeling and Computing Group
Jet Propulsion Laboratory, California Institute of Technology
p e t e r .m. k a l m u

Peter came to JPL Earth Science from astrophysics, where he spent eight years designing and implementing searches for gravitational waves from supernovae, gamma-ray bursts, and magnetars as a member of the LIGO collaboration. He now uses remote sensing data to study biodiversity, stratocumulus clouds (which cool the Earth), and severe convective environments as a member of JPL's Science Data Modeling and Computing Group. He is also interested in improving how we use and interpret scientific data, and applying improvements to ecological projections and data fusion technologies. His passion is developing advanaced data science methods to better link Earth System Model outputs to biological systems such as coral reefs, forests, and humans, in order to better understand how these biological systems will respond to global heating in the decades ahead.