Hi there!

I recently defended my Master’s thesis in Mechanical Engineering at the University of Colorado Boulder. My thesis focuses on applying deep learning to predict the permeability of blood clots from simulated, pore-scale CT imaging, which will in turn allow for better dosing of drugs to break up blood clots. I was a member of FLOWLab at CU Boulder for a few years, focusing on blood clots, stroke mechanics, and developing better computational tools to understand them.

In addition to this work, I have also worked with a pediatric laparoscopic surgeon from Children’s Hospital Colorado on a new port designed to be used on infants and neonates. A utility patent was filed on this design in April 2025, with additional funds raised from the flagship grant from the University of Colorado School of Medicine. Commercialization of this design is being pursued, including animal studies and an eventual 510(k) submission to the FDA.

I’m passionate about helping people and creating tools and technologies to improve the lives of those around me. I truly believe that interdisciplinary approaches are one of the leading ways to create these tools, and are what I aim to foster in my work. My guiding principle in what I do is to create technology to help people that are unable to help themselves.

Education

Master of Science, Mechanical Engineering, University of Colorado Boulder (July 2025) Thesis: On Applications of Deep Learning to Improve Blood Clot Permeability Predictions

Bachelor of Science, Mechanical Engineering, concentrations in Computer Science and Biomedical Engineering, University of Colorado Boulder (May 2024)