Data Scientist
Data Scientist

Biography

Helen Jenne received her PhD in mathematics from the University of Oregon in 2020, where she specialized in algebraic combinatorics. After earning her PhD, she worked as a postdoctoral researcher in Tours, France, where she studied lattice walk enumeration and applied her doctoral work to problems in enumerative geometry and the theory of cluster algebras. 

Jenne first joined Pacific Northwest National Laboratory (PNNL) in June 2015 as a PhD intern, mentored by Emilie Purvine, a senior data scientist. During her four internships, Jenne worked on a variety of projects that applied discrete math to problems in cybersecurity and other domains. She returned to PNNL in February 2022 as a post-doctorate research assistant and converted to full-time in September 2024. Her research interests include network science, topological data analysis, and explainable artificial intelligence (AI).

Research Interest

  • Network and hypernetwork science
  • Topological data analysis
  • Explainability in mathematical modeling
  • Assured AI
  • Algebraic combinatorics
  • Graph theory
  • Discrete mathematics

Education

  • PhD in mathematics, University of Oregon
  • MS in mathematics, University of Oregon
  • BA in mathematics and psychology, Whitman College

Affiliations and Professional Service

  • Women in Data Science Puget Sound, events team lead
  • Member of organizing committee for FPSAC 2020 Online (Formal Power Series and Algebraic Combinatorics)

Awards and Recognitions

  • Outstanding Performance Award, PNNL, November 2023
  • Member of Rising Stars in Comp. & Data Sciences 2023
  • Postgraduate Laboratory Mission Award Finalist, PNNL, 2022
  • Early Career Invited Lecture Award, University of British Columbia, 2021
  • Jack and Peggy Borsting Award for Scholastic Excellence, 2020

Publications

2024

Jenne, H., S. Aksoy, D. M. Best, A. Bittner, G. Henselman-Petrusek, C. Joslyn, B. Kay, A. Myers, G. Seppala, J. Warley, S. J. Young, and E. Purvine. 2024. “Stepping out of Flatland: Discovering Behavior Patterns as Topological Structures in Cyber Hypergraphs.” The Next Wave 25. https://www.govinfo.gov/app/details/GPO-TNW-25-1-2024/.

Hillairet, L., H. Jenne, and K. Raschel. 2024. “Lattice walks confined to an octant in dimension 3: (non-)rationality of the second critical exponent.” Annales de l’Institut Henri Poincaré D, Combinatorics, Physics and Their Interactions 11 (4): 683–713. https://doi.org/10.4171/aihpd/184.  

Luzi, L., H. Jenne, C. Ortiz Marrero, and R. Murray. 2024. “Using Skew to Assess the Quality of GAN-generated Image Features.” Transactions on Machine Learning Research.

2023

Zhou, Y., H. Jenne, D. Brown, M. Shapiro, E. Purvine, B. Praggastis, B. Jefferson, C. Joslyn, and G. Henselman-Petrusek. 2023. “Comparing Mapper Graphs of Artificial Neuron Activations.” In Proceedings of 2023 Topological Data Analysis and Visualization (TopoInVis), October 22–23, 2023, 41–50. https://doi.org/10.1109/TopoInVis60193.2023.00011.

Myers, A., S. Aksoy, D. M. Best, A. Bittner, G. Henselman-Petrusek, H. Jenne, C. Joslyn, B. Kay, G. Seppala, S. J. Young, and E. Purvine. 2023. “Malicious Cyber Activity Detection Using Zigzag Persistence.” In 2023 IEEE Conference on Dependable and Secure Computing (DSC 2023), November 7–9, 2023, 1–8. https://doi.org/10.1109/DSC61021.2023.10354204.

2022

Milutinović, M. J., H. Jenne, et al. 2022. “Matching Complexes of Trees and Applications of the Matching Tree Algorithm.” Annals of Combinatorics 26: 1041–1075. https://doi.org/10.1007/s00026-022-00605-3.

Kay, B., S. Aksoy, M. Baird, D. M. Best, H. Jenne, C. Joslyn, G. Henselman-Petrusek, C. Potvin, G. Seppala, S. J. Young, and E. Purvine. 2022. “Hypergraph Topological Features for Autoencoder-Based Intrusion Detection for Cybersecurity Data.” In Conference Proceedings of ICML workshop on Machine Learning for Cybersecurity, 2022.

2021

Jenne, H. 2021. “Combinatorics of the double-dimer model.” Advances in Mathematics 392. https://doi.org/10.1016/j.aim.2021.107952.

Jenne, H., G. Webb, and B. Young. 2021. “The combinatorial PT-DT correspondence.” In Séminaire Lotharingien de Combinatoire 85B.

2015

Clearfield, M. W., S. B. Stanger, and H. Jenne. 2015. “Socioeconomic status (SES) affects means–end behavior across the first year.” Journal of Applied Developmental Psychology 38: 22–28. https://doi.org/10.1016/j.appdev.2015.02.001.

2014

Balof, B., and H. Jenne. 2014. “Tilings, Continued Fractions, Derangements, Scramblings, and e.” Journal of Integer Sequences 17.

Clearfield, M. W., L. S Bailey, H. K. Jenne, S. B. Stanger, and N. Tacke. 2014. “Socioeconomic status affects oral and manual exploration across the first year.” Infant Mental Health 35 (1): 63–69. https://doi.org/10.1002/imhj.21423.