Reinforce the fundamentals of problem solving and object-oriented programming to 1000+ students. Assist students with projects and course content on online forums and during weekly labs. Evaluate assignments for correctness and adherence to coding standards, providing detailed technical feedback to help students identify logic errors and refine their debugging skills.

Develop physics-informed neural networks (PINNs) in PyTorch to predict 2D airfoil aerodynamic coefficients, resulting in improved airfoil design. Generate and preprocess 2D airfoil geometry datasets, enabling accurate and generalizable model training. Improve neural network architectures and hyperparameters in PyTorch by using physics-informed loss functions, significantly increasing model stability.

Fix critical PROS C++ bugs affecting sensor and motor behavior, improving reliability for 50,000+ VEX robotics users. Enhance PROS CLI Python tools by eliminating build and upload errors, accelerating workflow efficiency for thousands of developers. Improve cross-platform support in PROS, increasing stability for the global VEX robotics community.

Managed SQL databases to handle real-time race data efficiently. Developed a front-end interface to visualize real-time race data. Analyzed data and developed predictive race models.

Modeled and optimized monoclonal antibody production processes to enhance efficiency and yield. Built Monte Carlo simulations in Python and R to identify perfusion rates yielding 95% success in reaching target mannose levels. Developed an interactive Plotly-based app that improved process adjustment speed by enabling real-time visualization of bioprocessing outcomes.