Wahid Bhimji
Division Deputy for AI and Science
National Energy Research Scientific Computing Center (NERSC)
Science Engagement & Workflows Dept.
Data & AI Services Group
Wahid Bhimji is NERSC division deputy for AI and Science. His interests include machine learning and data management. Recently, he has led several projects that apply AI to science, including deep learning at scale, generative models, and probabilistic programming. He has coordinated aspects of machine learning deployment for the Lab’s CS-Area and NERSC: including the Perlmutter HPC system and plans for future NERSC machines. Previously, he led NERSC’s Data and AI Services Group and was the user lead for the commissioning of Cori Phase 1, particularly data services and the Burst Buffer. Wahid has worked for many years in Scientific Computing and Data Analysis in Academia and the UK Government and holds a Ph.D. in high-energy particle physics.
Recent Publications
Erratum to: Search for single top-quark production via flavour-changing neutral currents at 8 TeV with the ATLAS detector
Authors: Aad, G; Abbott, B; Abdallah, J; Abdinov, O; Aben, R; Abolins, M
January 2022, European Physical Journal C
A Pattern Recognition Algorithm for Quantum Annealers
Authors: Bapst, F; Bhimji, W; Calafiura, P; Gray, H; Lavrijsen, W; Linder, L
December 2020, Computing and Software for Big Science
High-level GPU code: a case study examining JAX and OpenMP.
Authors: Demeure, N; Kisner, T; Keskitalo, R; Thomas, R; Borrill, J; Bhimji, W
November 2023
Architectural Requirements for Deep Learning Workloads in HPC Environments
Authors: Ibrahim, KZ; Nguyen, T; Nam, HA; Bhimji, W; Farrell, S; Oliker, L
November 2021