Data Architectures and Artificial Intelligence
Data Architectures and Artificial Intelligence


Dr. Jan Strube is a physicist in the Physical and Computational Sciences Directorate at PNNL. He holds a joint appointment as an assistant research professor at the University of Oregon’s Institute for Fundamental Science. His research pairs advanced computing with high energy physics to optimize the detection capabilities of current and future particle collider experiments.

Strube is one of the leading researchers in the United States working on a global project in particle physics to define the experimental requirements for the proposed International Linear Collider (ILC) tunnel. The ILC, envisioned to operate in Japan, is the only future collider under discussion by United States, Japanese, and European governments.

Prior to his arrival at PNNL in 2015, Strube taught and researched particle physics throughout the world. He was a research assistant professor at Tohoku University in Sendai, Miyagi, Japan, in 2014. From 2011 to 2013, he was a fellow in the Physics Department at the European Organization for Nuclear Research, or CERN. Located in Geneva, Switzerland, CERN is one of the largest and most respected centers for scientific research. Strube also held the position of research associate in the United Kingdom for the Science and Technology Facilities Council’s Rutherford Appleton Laboratory from 2008 to 2011. He completed his PhD at the University of Oregon in high energy physics in 2008.

Disciplines and Skills

  • High Energy Physics
  • Particle Physics
  • Advanced Computing


  • PhD in Physics, University of Oregon, 2008
  • Vordiplom in Physics, Ulm University, 2001

Affiliations and Professional Service

  • Assistant Research Professor, Institute for Fundamental Science, University of Oregon
  • American Physical Society
  • Co-Convener, Software and Computing Group, ILC International Development Team WG3 (2021 – Present)
  • Reviewer, IEEE Transactions on Nuclear Science (2020)
  • Co-Convener, “Detector R&D” and “Software / Computing” Working Groups Linear Collider Collaboration (2014 – 2020)
  • Reviewer, Netherlands Organisation for Scientific Research (2017)
  • Reviewer, European Physics Journal C (2017)
  • Co-Chair, Program Committee, Computing in High Energy Physics, San Francisco (2016 – 2017)
  • Reviewer, High Energy Physics-Advanced Scientific Computing Research, U.S. Department of Energy (2015)
  • Reviewer, Physical Review B (2013)


View a comprehensive list of Dr. Strube’s publications at


  • Strube J.F., and M. Titov. 2021. Linear Collider R&D report. PNNL-27609. Richland, WA: Pacific Northwest National Laboratory. doi:10.5281/zenodo.4496000
  • Strube J.F., and M. Stanitzki. 2021. "Performance of Julia for high energy physics analyses." Computing and Software for Big Science. PNNL-SA-151985. Accepted for publication by the journal, DOI pending. Preprint available at


  • Hagen A.R., J.F. Strube, S.W. Jackson, C.M. Hainje, J. Kahn, and H. Isabel. 12/11/2020. "A Proposed High Dimensional Kolmogorov-Smirnov Distance." Presented by A.R. Hagen at Machine Learning and the Physical Sciences: Workshop at the 34th Conference on Neural Information Processing Systems, Online, Canada. PNNL-SA-158210.
  • Strube J.F., M. Schram, S. Rousidan, Z.C. Kennedy, and T. Varga. 2021. "Identifying build orientation of 3D printed materials using convolutional neural networks." Statistical Analysis and Data Mining. PNNL-SA-153051. doi:10.1002/sam.11497
  • Hagen A.R., E.D. Church, J.F. Strube, K. Bhattacharya, and V.C. Amatya. 2020. "Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs." Journal of Physics: Conference Series 1525. PNNL-SA-143856. doi:10.1088/1742-6596/1525/1/012104
  • Nayak M., D. Cinabro, I. Adachi, H. Aihara, S. Al Said, D. Asner, and H. Atmacan, et al. 2020. "Measurement of the charm-mixing parameter yCP in D0-> K0sw decays at Belle." Physical Review. D, Particles, Fields, Gravitation, and Cosmology 102, no. 7:Article No. 071102(R). PNNL-SA-158830. doi:10.1103/PhysRevD.102.071102
  • Sahoo D., G.B. Mohanty, K. Trabelsi, I. Adachi, K. Adamczyk, H. Aihara, and S. Al Said, et al. 2020. "Search for lepton-number- and baryon-number-violating tau decays at Belle." Physical Review. D, Particles, Fields, Gravitation, and Cosmology 102, no. 11:Article No. 111101(R). PNNL-SA-158840. doi:10.1103/PhysRevD.102.111101
  • Thomas M., M. Schram, K.M. Fox, J.F. Strube, N.S. Solomon-Oblath, R.J. Rallo Moya, and Z.C. Kennedy, et al. 2020. "Distributed heterogeneous compute infrastructure for the study of additive manufacturing systems." MRS Advances 5, no. 29-30:1547-1555. PNNL-SA-150139. doi:10.1557/adv.2020.103


  • Chilikin K., I. Adachi, D. Asner, V. Aulchenko, T. Aushev, R. Ayad, and V. Babu, et al. 2019. "Evidence for B + -> hcK + and observation of nc(2S)-> pp¯π + π −." Physical Review D 100, no. 1:Article No. 012001. PNNL-SA-147473. doi:10.1103/PhysRevD.100.012001
  • Chou P., P. Chang, I. Adachi, H. Aihara, S. Al Said, D. Asner, and H. Atmacan, et al. 2019. "Search for B0 -> X (3872)y." Physical Review. D, Particles, Fields, Gravitation, and Cosmology 100, no. 1:Article No. 012002. PNNL-SA-146349. doi:10.1103/PhysRevD.100.012002