Utilized machine learning and data analysis on in-situ melt pool signatures from a Laser Powder-bed Fusion experiment. I used these features to discover underlying patterns in the process variation of the LPBF additive manufacturing technique and used these patterns to increase the predictability of printed parts using a GE Concept Laser. By increasing the predictability of the printed samples, we aim to increase the repeatability of qualify parts through a feedback loop algorithm in a Reinforcement Learning scheme.I am currently working on developing a Reduced Order Model to reduce computation time for high-burnup fuel performance simulations. I worked with the Idaho National Lab as an intern to get an in-depth understanding of their nuclear simulation software BISON. I have been able to gain a working knowledge of BISON and have built 1D, 2D, 1.5D, 2.5D and 3D models, and have perturbed various parameters to study the parameters effect on the system response.

I will be working with the BISON team on computational research into the Fission Accelerated Steady-State Test experimental fuel type. I will be building basic to complex simulations of the FAST design and examining how perturbations of various parameters effect the response of these simulations.

Worked as both a server and manager. Ensured a clean and efficient restaurant space, seating around 300 people on a normal day. Utilized interpersonal skills to give both a welcoming environment for guests, as well as keep the team well-run throughout the day and delegated tasks to make sure the restaurant ran smoothly.Had to deal with both customer-server conflicts, as well as inter-team conflicts when they arose.

I worked as both a cashier and a barista making the coffee, as well as doing other chores around the shop to keep it tidy.