Education
Doctor of Philosophy, Mechanical and Aerospace Engineering
University of Notre Dame / Notre Dame, IN, USA
January 2025
Bachelor of Science, Nuclear Engineering
Thomas Edison State University / Trenton, NJ, USA
December 2017
Associate of Science, Nuclear Engineering
Three Rivers Community College / Norwich, CT, USA
May 2015
Professional Experience
Metropolis Postdoctoral Fellow
Los Alamos National Laboratory / Los Alamos, NM, USA
February 2025 - Current
- Use machine learning to optimize energy grid group structures for nuclear data.
- Apply reinforcement learning techniques to minimize errors in nuclear data and numerical simulations.
- Investigating practical uses of natural language processing and large language models as it applies to nucleardata and nuclear simulations.
Graduate Student Researcher
University of Notre Dame / Notre Dame, IN, USA
September 2018 - January 2025
- Dissertation: Hybrid Numerical Methods and Solution Verification for the Neutron Transport Equation. DOI: 10.7274/27927858
- Designed and developed machine learning and AI pipeline for data reduction in numerical simulations while remaining within a prescribed tolerance.
- Performed solution verification for model risk evaluation of high-dimensional numerical simulations.
Graduate Student Assistant
Lawrence Livermore National Laboratory / Livermore, CA, USA
June 2021 - August 2021
- Integrated parallel C++ production-level high-dimensional physics codes on Lawrence Livermore’s HPCs.
- Communicated with multiple developer teams to ensure that the needs from both code base developers andthe users of these code bases were met.
Graduate Student Assistant
Los Alamos National Laboratory / Los Alamos, NM, USA
May 2019 - July 2019
- Worked in a collaborative environment to quantify experimental errors in nuclear data using novel machinelearning and artificial intelligence.
- Utilized machine learning techniques to analyze and identify outliers in nuclear cross-sectional data.
Boilers and Turbines Operator
NRG Energy Power Station / Middletown, CT, USA
June 2015 - June 2018
- Responsible for safe and efficient operation, testing, inspection, and preventative maintenance ofcondensate, feed water, hydrogen, nitrogen, and fuel oil systems.
- Make decisions within prescribed operating procedures and guidelines. Effectively communicateinformation to supervision and other plant personnel.
Peer-Reviewed Publications
Single Grid Error Estimation for Neutron Transport Solvers.
Ben Whewell and Ryan G. McClarren, (2025). Journal of Verification, Validation and Uncertainty Quantification. 10(2): 021001. DOI: 10.1115/1.4069426
Collision-Based Hybrid Method for Two-Dimensional Neutron Transport Problems.
Ben Whewell and Ryan G. McClarren, (2025). Nuclear Science and Engineering, 1-23. DOI: 10.1080/00295639.2025.2489778
Multigroup Neutron Transport Using a Collision-Based Hybrid Method.
Ben Whewell, Ryan G. McClarren, Cory D. Hauck, and Minwoo Shin, (2023). Nuclear Science and Engineering, 197:7, 1386-1405. DOI: 10.1080/00295639.2022.2154119
A low-rank power iteration scheme for neutron transport criticality problems.
Jonas Kusch, Benjamin Whewell, Ryan G. McClarren, and Martin Frank, (2022). Journal of Computational Physics, 470, 111587. DOI: 10.1016/j.jcp.2022.111587
Data Reduction in Deterministic Neutron Transport Calculations Using Machine Learning.
Ben Whewell and Ryan G. McClarren, (2022). Annals of Nuclear Energy, 176, p. 109276. DOI: 10.1016/j.anucene.2022.109276
Evaluating 239Pu(n,f) cross sections via machine learning using experimental data, covariances, and measurement features.
B. Whewell, M. Grosskopf, and D. Neudecker, (2020). Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment, 978, p. 164305. DOI: 10.1016/j.nima.2020.164305
Technical Skills
Programming Languages
Python
C++
R
Cython
HTML
CSS
SQL
Data Analysis & Processing
NumPy
Pandas
PySpark
Hadoop
Data Visualization
Matplotlib
Seaborn
Power BI
Microsoft Excel
Tableau
Databases
PostgreSQL
MySQL
Snowflake
Cloud & DevOps
Docker
Kubernetes
Microsoft Azure
Amazon Web Services
Git/GitHub
Linux/Unix
Web Frameworks
FastAPI
Flask
Machine Learning
PyTorch
TensorFlow
Keras
Scikit-Learn
XGBoost
OpenCV
Optuna
Tensorboard
Weights and Biases
Reinforcement Learning
Gymnasium
Stable Baselines
PettingZoo
Ray RLlib
NLP & LLMs
HuggingFace
LlamaIndex
LangChain
LangGraph
Pydantic