- Improved Geant4 simulation model of the Mu2e Experiment's Extinction Monitor detector. - Designed monte carlo simulations in C++ to reduce detector noise.

- Investigated how modern machine learning methods can help to extract the maximum amount of information about the self-interactions of the Higgs boson from the data sets recorded by experiments at the Large Hadron Collider.- Applied neural networks to define highly-compressed summary statistics of these data sets that preserved the information contained in the original data.

Technology Innovation Directorate (TID) Research Intern @ SLAC

Co-led four-year project to design and build a type of particle accelerator called a Cyclotron- Led design, construction, and testing of the magnet, radiofrequency (RF), hydrogen ionization, and detector systems.Project advisor, Dr. Martin Breidenbach, is an emeritus professor at the Stanford Linear Accelerator Center (SLAC). Saved ~$14,000 thanks to our fundraising efforts and the generous donations of various laboratories and companies. Theoretical maximum beam energy = 600 KeV.