Natalie Isenberg
Data Scientist
Natalie Isenberg
Data Scientist
Biography
Natalie Isenberg completed her PhD in chemical engineering at Carnegie Mellon University in 2021. Prior to joining Pacific Northwest National Laboratory, Isenberg was the inaugural Amalie Emmy Noether Postdoctoral Fellow in Applied Mathematics at Brookhaven National Laboratory.
Research Interest
- Mixed-integer optimization
- Optimal experimental design
- Nonlinear optimization
- Robust optimization
- Uncertainty quantification
- Hybrid (gray-box) modeling
Education
- PhD in chemical engineering, Carnegie Mellon University
- BS in chemical engineering, University of Pittsburgh
Awards and Recognitions
- Amalie Emmy Noether Postdoctoral Fellowship in Applied Mathematics, Brookhaven National Laboratory, 2021
- Rising Stars for Women in Computational and Data Sciences, Sandia National Laboratory, 2021
- Presidential Fellowship, Department of Chemical Engineering, Carnegie Mellon University, 2020
- Graduate Student Research Fellowship, U.S. Department of Energy Office of Science, 2019
Publications
2024
- Isenberg, N. M., S. D. Mertins, B. Yoon, K. Reyes, and N. M. Urban. 2024. “Identifying Bayesian Optimal Experiments for Uncertain Biochemical Pathway Models.” Scientific Reports 14 (1): Art No. 15237. PNNL-SA-198539. https://doi.org/10.1038/s41598-024-65196-w
- Roussel, R., A. L. Edelen, T. Boltz, D. Kennedy, Z. Zhang, F. Ji, X. Huang, D. Ratner, A. Santamaria, C. Xu, J. Kaiser, A. F. Pousa, A. Eichler, J. O. Lübsen, N. M. Isenberg, Y. Gao, N. Kuklev, J. Martinez, B. Mustapha, V. Kain, C. Mayes, W. Lin, S. M. Liuzzo, J. St. John, M. J. V. Streeter, R. Lehe, and W. Neiswanger. 2024. “Bayesian optimization algorithms for accelerator physics.” Phys. Rev. Accel. Beams 27 (8): 084801. https://doi.org/10.1103/PhysRevAccelBeams.27.084801
2023
- Mertins, S. D., N. M. Isenberg, K.-R. Reyes, B.-J. Yoon, N. Urban, M. P. Jogalekar, M. E. Diolaiti, M. R. Weil, and E. A. Stahlberg. 2023. “Pharmacodynamic model of PARP1 inhibition and global sensitivity analyses can lead to cancer biomarker discovery.” bioRxiv 2023.02.08.527527. https://doi.org/10.1101/2023.02.08.527527
2021
- Isenberg, N. M., P. Akula, J. C. Eslick, D. Bhattacharyya, D. C. Miller, and C. E. Gounaris. 2021. “A generalized cutting-set approach for nonlinear robust optimization in process systems engineering.” AIChE J. 67: e17175. https://doi.org/10.1002/aic.17175
- Xiangyu, Y., N. M. Isenberg, C. L. Hanselman, J. R. Dean, G. Mpourmpakis, and C. E. Gounaris. 2021. “Designing stable bimetallic nanoclusters via an iterative two-step optimization approach.” Mol. Syst. Des. Eng. 6: 545–557. https://doi.org/10.1039/D1ME00027F
2020
- Isenberg, N. M., M. G. Taylor, Z. Yan, C. L. Hanselman, G. Mpourmpakis, C. E. Gounaris. 2020. “Identification of optimally stable nanocluster geometries via mathematical optimization and density-functional theory.” Mol. Syst. Des. Eng. 5: 232–244. https://doi.org/10.1039/C9ME00108E
2016
- Bhavsar, S., N. Isenberg, A. More, G. Veser. 2016. “Lanthana-doped ceria as active support for oxygen carriers in chemical looping combustion.” Applied Energy 168: 236–247. https://doi.org/10.1016/j.apenergy.2016.01.073