Joel R. Brownstein

Dr. Joel R. Brownstein is a Research Associate Professor in the Department of Physics and Astronomy at the University of Utah, specializing in cosmology, dark matter, and gravitational lensing. As head of data management and archiving for the Sloan Digital Sky Survey (SDSS) and primary SDSS data scientist, he leads development of the SDSS science archive and data pipelines. His research spans galaxy clustering, quantum gravity implications, and machine learning applications in astrophysics, with notable contributions to radial velocity precision, white dwarf mass-radius relations, and SDSS-V survey design.

Key Research Areas:

• Cosmology: ΛCDM constraints, dark energy, and large-scale structure.
• Gravitational Lensing: Strong lens detection and modeling for dark matter studies.
• Data Science: Machine learning in spectral analysis, neural networks for distance estimation.
• Stellar Dynamics: Brown dwarf kinematics, white dwarf binary systems.

Major Grants: SDSS data sustainability (2020-2025), Master Lens Database development (2012-2016), and SDSS-V infrastructure support (2013-2021). He actively contributes to software frameworks for SDSS and co-develops tools like picca and Marvin for cosmological correlation analysis and data visualization.