Paul Beckman

  • Program Year: 3
  • Academic Institution: New York University
  • Field of Study: Mathematics
  • Academic Advisor: Michael O'Neil
  • Practicum(s):
    Lawrence Berkeley National Laboratory (2023)
  • Degree(s):
    B.S. Computational and Applied Mathematics, University of Chicago, 2019


Beckman, Paul G., Christopher J. Geoga, Michael L. Stein, and Mihai Anitescu. "Scalable computations for nonstationary Gaussian processes." Statistics and Computing 33, no. 4 (2023): 84.

Williams-Young, David B., Paul G. Beckman, and Chao Yang. "A Shift Selection Strategy for Parallel Shift-Invert Spectrum Slicing in Symmetric Self-Consistent Eigenvalue Computation." ACM Transactions on Mathematical Software (TOMS) 46, no. 4 (2020): 1-31.

Skluzacek, Tyler J., Rohan Kumar, Ryan Chard, Galen Harrison, Paul Beckman, Kyle Chard, and Ian Foster. "Skluma: An extensible metadata extraction pipeline for disorganized data." In 2018 IEEE 14th International Conference on e-Science (e-Science), pp. 256-266. IEEE, 2018.

Beckman, P. G., J. L. Fattebert, E. Y. Lau, and D. Osei-Kuffuor. "A geometric initial guess for localized electronic orbitals in modular biological systems." No. LLNL-TR-738503. Lawrence Livermore National Lab Summer Poster Session 2017. (LLNL), 2017.


Computational and Applied Mathematics Departmental Honors (2019)