Pengfei Ding
Data Science Workflows Architect
National Energy Research Scientific Computing Center (NERSC)
Science Engagement & Workflows Dept.
Data Science Engagement Group
Pengfei Ding is a data science workflows architect at Lawrence Berkeley National Laboratory, where he has been serving since November 2023. In this role, he works closely with domain scientists to use high performance computing (HPC) resources at the National Energy Research Scientific Computing Center (NERSC), optimizing user environments and workflows on supercomputers to enhance scientific productivity. Previously, Pengfei was an application physicist at Fermi National Accelerator Laboratory (Fermilab) from 2019 to 2023, where he developed software for the DUNE data acquisition systems and conducted physics analysis on neutrino experiments. From August 2014 to March 2019, he worked as a research associate at Fermilab. His work included developing operations software for the NOvA data acquisition systems, performing neutrino physics data analysis, and serving as a liaison to then Fermilab’s Scientific Computing Division. Pengfei earned his Ph.D. in particle physics from The University of Manchester in 2013. His research included measuring the Z Boson’s rapidity distribution and searching for R-parity violation sneutrinos. He obtained a B.Sc. and attended the Special Class for the Gifted Young at the University of Science and Technology of China.
Recent Publications
The DUNE Far Detector Vertical Drift Technology. Technical Design Report
Authors: Abud, AA; Abi, B; Acciarri, R; Acero, MA; Adames, MR; Adamov, G
August 2024, Journal of Instrumentation
Doping liquid argon with xenon in ProtoDUNE Single-Phase: effects on scintillation light
Authors: Abud, AA; Abi, B; Acciarri, R; Acero, MA; Adames, MR; Adamov, G
August 2024, Journal of Instrumentation
Expanding neutrino oscillation parameter measurements in NOvA using a Bayesian approach
Authors: Acero, MA; Acharya, B; Adamson, P; Anfimov, N; Antoshkin, A; Arrieta-Diaz, E
July 2024, Physical Review D (particles, fields, gravitation, and cosmology)
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
Authors: Abud, AA; Abi, B; Acciarri, R; Acero, MA; Adames, MR; Adamov, G
July 2023, European Physical Journal C: Particles and Fields
Monte Carlo method for constructing confidence intervals with unconstrained and constrained nuisance parameters in the NOvA experiment
Authors: Acero, MA; Acharya, B; Adamson, P; Aliaga, L; Anfimov, N; Antoshkin, A
February 2025, Journal of Instrumentation
The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data
Authors: Abud, AA; Abi, B; Acciarri, R; Acero, MA; Adames, MR; Adamov, G
February 2025, Journal of Instrumentation
DUNE Phase II: scientific opportunities, detector concepts, technological solutions
Authors: Abud, AA; Abi, B; Acciarri, R; Acero, MA; Adames, MR; Adamov, G
December 2024, Journal of Instrumentation
Up and down quark structure of the proton
Authors: Abazov, VM; Abbott, B; Acharya, BS; Adams, M; Adams, T; Agnew, JP
November 2024, Physical Review D
Supernova pointing capabilities of DUNE
Authors: Abud, AA; Abi, B; Acciarri, R; Acero, MA; Adames, MR; Adamov, G
May 2025, Physical Review D
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