Stephan Foster Email & Phone Number

Vancouver, British Columbia, Canada

When we look out into the universe we see a great asymmetry between matter and antimatter, and the source of this asymmetry is not yet accounted for in full by our best accepted theories. The atomic nucleus appears to be a great experimental testing ground for future advancements in this sector, and thus demands methods to make accurate theoretical predictions. Solving the quantum many body problem of nuclei is computationally demanding but nonetheless by leveraging high performance computing infrastructure ab initio approaches are making progress. • Learning advanced quantum mechanics, nuclear and particle physics.• Gaining experience with the high performance computing environment and practices.• Completing calculations of expected electric dipole and Schiff moments in light nuclei using the ab initio no-core shell model method.

Hamilton, Ontario, Canada

The COHERENT Collaboration experimentally confirmed Coherent Elastic Neutrino Nucleus Scattering (CEvNS) in 2017. The Multiplicity and Recoil Spectrometer (MARS) is a neutron background measuring device which allows for accurate quantification of the backgrounds present that may be effecting signals. • Performed data analysis to quantify detector thresholds and extracted detector parameters used to inform simulation from several real experimental data sets. • Fixed critical memory leak issues in the detector MCMC parametrization code.• Presented and informed group members on results and issues using PyROOT and emcee.

Hamilton, Ontario, Canada

Investigated the development of new safeguarding technologies for nuclear reactors, specifically the potential for using neutrino detection through the CEvNS channel to determine the isotopic composition of SMR's and conventional reactors. • This work was supported by NSERC as well as the Canadian Nuclear Society and was done in collaboration with the Canadian Nuclear Laboratories.• Learned the the fundamentals of Geant4 and ROOT which are software orginally developed at CERN. • Completed fundamental calculations for detection statistics across fuel types and different detector scenarios.

Hamilton, Ontario, Canada

Investigated the potential of neural networks to solve problems in the field of nuclear engineering, specifically critical heat flux prediction. Involved the analysis and conversion of current look up table methods into a deep feed forward framework which was built in TensorFlow and optimized with Optuna.• Sponsored by CNL to Investigate the potential of neural networks to predict critical heat flux in geometries relevant to nuclear reactors.• Developed a model with more accurate results than current methods.• Took a deep learning specialization course and did self learning in fluid mechanics, neural networks, TensorFlow, and NumPy.

Collingwood, Ontario, Canada

Developed an inventory tracking database and assisted with various other information technology initiatives including the deployment of a new virtual private network and an automatic software renewal tracking program.

Collingwood, Ontario, Canada

Assisting customers with product selection and general store maintenance.

Bachelor Of Engineering - Be, Engineering Physics

Education record

Activities and Societies: Math Olympics, Tennis team, Badminton team, Downhill Skiing team