Research Interests
- Scientific computing education
- Repository system performance modeling
- Open & reproducible scientific computing
- Computational methods for optimization and prediction
- Coupled multi-physics simulation
- Reactor neutronics and kinetics
- Nuclear fuel cycle simulation
- Advanced nuclear reactor modeling and simulation
Education
- PhD, Nuclear Engineering, University of Wisconsin - Madison, 2013
- BA, Physics, University of Chicago, 2008
Courses Taught
- NPRE412, Fall 2016
Additional Campus Affiliations
Associate Professor, Nuclear, Plasma and Radiological Engineering
Associate Professor, National Center for Supercomputing Applications (NCSA)
Recent Publications
Bachmann, A. M., Richter, Z., Huff, K. D., & Munk, M. (2026). Effects of Uranium Impurities in Downblended HEU on HTGR Performance. Nuclear Technology. Advance online publication. https://doi.org/10.1080/00295450.2025.2560690
Dotson, S. G., Munk, M., & Huff, K. D. (2026). Demonstrating the Osier framework for energy system and nuclear fuel cycle optimization. Annals of Nuclear Energy, 230, Article 112151. https://doi.org/10.1016/j.anucene.2026.112151
Huff, K. D. (2026). Foreword: Global Need for Nuclear Energy. In New Directions in Nuclear Energy: Innovation and Opportunities in Fission and Fusion for Global Decarbonization (pp. xiii-xiv). Elsevier. https://doi.org/10.1016/B978-0-443-33471-9.06001-9
Park, S. M., Huff, K. D., & Munk, M. (2026). Hybrid SN-Diffusion Neutronics Method for Control Rod Modeling in Molten Salt Reactors. Nuclear Science and Engineering. Advance online publication. https://doi.org/10.1080/00295639.2026.2667091
Seifert, L., Betzler, B., Wieselquist, W., Jessee, M., Munk, M., & Huff, K. (2026). Delayed Neutron Precursor Group Parameter and Spectra Generation from Fast Fission of 235U in SCALE. Nuclear Science and Engineering, 200(6), 1409-1424. https://doi.org/10.1080/00295639.2025.2525754