Computational and Theoretical Physicist specializing in network materials, structures, and systems. My research areas have included the following: data pipeline creation, presence detection, machine learning compilers, 3D reconstruction, object detection, face detection, and facial recognition at SmartThings; deriving and simulating mechanical properties of fibrous network materials at the University of Pennsylvania; and simulations of current distribution and cascading failures of electrical power grid networks at Yeshiva University. To solve the mathematical equations I develop which govern the given research phenomena, I use optimization techniques, Machine Learning architectures (Naive Bayes, Decision Trees and Random Forests, XGBoost, and LLMs) and frameworks (such as PyTorch, TensorFlow, and Scikit-learn), and computational systems solvers such as CFD (OpenFOAM) and FEA (Abaqus, COMSOL), as well as custom solvers, scripts, and programs. I have extensive experience with writing, debugging, and running code in Python, MATLAB, and C/C++, including for parallel computing with MPI on Linux high-performance computers (HPC) and on cloud platforms such as AWS.