Natalie Isenberg
Postdoctoral Researcher, Applied Mathematics, Computational Science Initiative

Brookhaven National Laboratory
Computational Science Initiative
P.O. Box 5000
Upton, NY 11973-5000
(410) 299-9125
nisenberg@bnl.gov
Preferred Gender Pronouns (PGPs): She/Her
Natalie is an Amalie Emmy Noether Postdoctoral Fellow in the Applied Mathematics group at Brookhaven National Laboratory's Computational Science Initiative (CSI). She obtained her Ph.D. in Chemical Engineering from Carnegie Mellon University in 2021. Natalie's research interests are generally in applying and developing mathematical optimization methods for complex decision-making problems.
Expertise | Education | Publications
Expertise
- Mathematical optimization
- Robust optimization
- Process systems engineering
Education
- Ph.D., Chemical Engineering, Carnegie Mellon University (2021)
- B.S., Chemical Engineering, University of Pittsburgh (2016)
Selected Publications
- Isenberg NM, Akula P, Eslick JC, Bhattacharyya D, Miller DC, Gounaris CE (2021) A generalized cutting-set approach for nonlinear robust optimization in process systems engineering. AIChE Journal. doi: 10.1002/aic.17175
- Isenberg NM, Taylor MG, Yan Z, Hanselman CL, Mpourmpakis G, Gounaris CE (2020) Identification of optimally stable nanocluster geometries via mathematical optimization and density-functional theory. Molecular Systems Design & Engineering 5:232–244. doi: 10.1039/c9me00108e
- Bhavsar S, Isenberg N, More A, Veser G (2016) Lanthana-doped ceria as active support for oxygen carriers in chemical looping combustion. Applied Energy 168:236–247. doi: 10.1016/j.apenergy.2016.01.073

Brookhaven National Laboratory
Computational Science Initiative
P.O. Box 5000
Upton, NY 11973-5000
(410) 299-9125
nisenberg@bnl.gov