Software Engineer and Data Scientist
Software Engineer and Data Scientist

Biography

Paul Rigor is a cloud architect within the Center for Cloud Computing group at Pacific Northwest National Laboratory (PNNL). Currently, Rigor manages a portfolio of public–private partnerships among the major cloud service providers like Amazon Web Services, the Microsoft Azure Cloud, and the Google Cloud Platform. He also serves as a technical advisor in science, software engineering, and operational initiatives along with co-leading the Generative AI Laboratory Directed Research and Development Investment. Rigor’s specific areas of expertise include bioinformatics, machine learning, distributed computing, cloud computing, and product and program development in support of the AI4Science strategies. 

Disciplines and Skills

  • Computer Science
  • Machine Learning 
  • Distributed Computing
  • Product and Program Development
  • Curriculum and Instruction
  • Technical and Science Advisory

Education

  • Doctor of Philosophy, Computer Science, University of California – Irvine
  • Bachelor of Science, Neuroscience, University of California – Los Angeles
  • Bachelor of Science, Cognitive Science with Computing Specialization, University of California – Los Angeles

Affiliations and Professional Service

  • Member, Center for AI at PNNL
  • Member, Computational and Theoretical Chemistry Institute at PNNL
  • Member, Association for Computing Machinery
  • Member, Institute of Electrical and Electronics Engineers 
  • Member, American Chemical Society

Awards and Recognitions

  • Predoctoral Fellowship – NIH Biomedical Informatics Training Program 

Publications

2024

  • Rigor P.M. 04/09/2024. "Accelerating Scientific Discovery with HPC and AI Platforms in the Cloud." Presented by P.M. Rigor, C.D. Hagler at NLIT Summit 2024, Seattle, Washington. PNNL-SA-197196.
  • Rigor P.M., S. Kannan, K.J. Knobbs, L.S. Godwin, and R.J. Cass. 2024. "C3 Services." PNNL-SA-202930. Richland, WA: Pacific Northwest National Laboratory.
  • Bylaska E.J., A.R. Panyala, N.P. Bauman, B. Peng, H. Pathak, N. Govind, and D. Mejia-Rodriguez, et al. 2024. "Electronic structure simulations in the cloud computing environment." The Journal of Chemical Physics. PNNL-SA-199904. 

2023

  • Metz T.O., R.G. Ewing, J.N. Adkins, P.B. Armentrout, P. Chain, C.D. Corley, and J.R. Cort, et al. 2023. Decoding the Molecular Universe - m/q Initiative 2023 Workshop. PNNL-35162. Richland, WA: Pacific Northwest National Laboratory.