Daniel Margala
HPC Environment Architect
National Energy Research Scientific Computing Center (NERSC)
HPC Technology Dept.
Programming Environments & Models Group
Daniel Margala has extensive experience supporting the use of Python with GPUs on HPC systems and enabling advanced workflows. He is passionate about helping scientists use HPC systems for their research. Daniel earned his PhD in Physics from the University of California, Irvine and joined NERSC after multiple years of work in the tech industry as a data scientist and machine learning engineer.
Recent Publications
DESI 2024 III: baryon acoustic oscillations from galaxies and quasars
Authors: Adame, AG; Aguilar, J; Ahlen, S; Alam, S; Alexander, DM; Alvarez, M
April 2025, Journal of Cosmology and Astroparticle Physics
DESI 2024 VI: cosmological constraints from the measurements of baryon acoustic oscillations
Authors: Adame, AG; Aguilar, J; Ahlen, S; Alam, S; Alexander, DM; Alvarez, M
February 2025, Journal of Cosmology and Astroparticle Physics
DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest
Authors: Adame, AG; Aguilar, J; Ahlen, S; Alam, S; Alexander, DM; Alvarez, M
January 2025, Journal of Cosmology and Astroparticle Physics
DESI 2024 II: sample definitions, characteristics, and two-point clustering statistics
Authors: Adame, AG; Aguilar, J; Ahlen, S; Alam, S; Alexander, DM; Alvarez, M
July 2025, Journal of Cosmology and Astroparticle Physics