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Daniel Siefman became an assistant professor in the Nuclear Engineering Department in 2024. He received his bachelor's degree in Nuclear Engineering from the University of Florida in 2013, a master's degree in Nuclear Engineering from École polytechnique fédérale de Lausanne (EPFL) in 2015, and a Ph.D. in Nuclear Engineering from EPFL in 2019. Prior to his current position, Daniel was a staff scientist in the Nuclear Criticality Safety Division at Lawrence Livermore Laboratory from 2019 to 2023, where he supported research and development efforts on integral experiments, nuclear data validation, radiation transport, and neutron noise diagnostics in the context of nuclear emergency response. His research interests include critical and subcritical experiments methods, nuclear data validation and adjustment, computational methods for radiation transport, neutron noise analysis, reactor dosimetry, design optimization, safety analysis of nuclear reactors, machine learning applications in nuclear engineering, and nuclear power plant decommissioning.
University of California, Berkeley • Berkeley, CA, USA
Teaching and researching in the Department of Nuclear Engineering.
Lawrence Livermore Laboratory • Livermore, CA, USA
Supported R&D efforts on integral experiments, nuclear data validation, radiation transport, neutron noise diagnostics, and nuclear emergency response.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.