Development of computational electromagnetics and optics software.

• Work closely with the research/analysis engineers in assessing their needs for the in-house suite of simulation software.
• Identify computational bottlnecks and ease them to help speed up product development.
• Leverage next-gen computational tools to further accelerate design-simulation workflow.

Development of a meshless PDE solver for hemodynamics modeling. Simulating hemodynamics is a challenging problem due to complex geometries, moving boundaries, and arguably most importantly - boundary conditions that are coupled to solution of the domain which requires multiscale modeling.

• Solve Navier-Stokes using the Radial-Basis Function Meshless Method (RBF-FD)
• Implement a tightly-coupled iterative scheme for the complex hemodynamic boundary conditions
• Building an easy to use and high-performance library to perform hemodynamics simulations using these methods

Development of a tool for use in cardiovascular diagnostics. My main task was to create a machine learning pipeline for automatic 3D segmentation and pre-processing of medical images for use in a Computational Fluid Dynamics (CFD) simulation.

• Modified an existing Convolutional Neural Network (CNN) model achieving increased performance for our specific application
• Aided in the development of a graphics tool to annotate the input data
• Performed custom data augmentation along with inspecting, cleaning, and normalizing the dataset
• Implemented an eigenvalue-based filter for volumetric images in Python (enhances tube-like structures in volume images)

Run the lab section of a numerical methods course. Demonstrating how to efficiently translate algorithms in pseudocode to real code using MATLAB.

Topics covered:

• root finding algorithms (e.g. Newton-Raphson)
• linear simultaneous equations (e.g. Gauss Elimination, Gauss-Seidel)
• curve fitting and interpolation (e.g. Least Squares)
• solving ODEs (e.g. Euler’s Method and Runge-Kutta).

Run the lab section of a computational biofluids course. Demonstrating how to setup and run CFD simulations in context of biofluids.

Topics covered:

• geometry pre-processing / meshing
• physics model selection and considerations
• solver settings
• post-processing and analysis