• Developing a Python library, called Dynamix, that integrates control theory and machine learning, aimed at enhancing robotic system performance.• Modeling robotic systems to simulate and analyze dynamic behaviors.• Engineering controllers that fuse classical control theory principles with machine learning algorithms, optimizing robotic system control strategies.

• Revise rivet models to match data from over 20 experiments• Master 10+ MATLAB scripts for creating reduced-order models• Gather relevant modeling information from 12+ papers• Create a high-fidelity finite element model in ABAQUS of a riveted joint

• Use NX and GD&T to create 5+ drawings for lab equipment models and design layouts• Write work instructions for industrial 3D-printer operation• Created ConOps course taken by over 100 people to obtain lab access• Update GNC modeling scripts to automate the creation of mass properties files

Perform experiments for new data on solubility within the element lead. Goal was to update current solubility databases on the solubility of ten different elements in molten lead. Data contributed to building the Lead-cooled fast reactor (LFR).• Work side by side with a Graduate student on the project• Prepare over 100 ICP-MS samples for analysis• Set up over 60 solubility experiments• Solve problems such as fixing the glove box when it fails

• Assist in the testing and verification of a nuclear battery project• Present on project findings