As an undergraduate student, I obtained a bachelor’s degree in Radiological Science in 2014 at the University of Missouri – Columbia. I worked as an x-ray and CT technologist at the University of Missouri Hospital system for several years before deciding to pursue Medical Physics. In 2017, I obtained a bachelor’s degree in Physics from the University of Missouri – Kansas City being advised by Tony Caruso and mentored by Fred Leibsle.

In 2017, I was accepted into the Medical Physics Program at the University of Wisconsin – Madison where I joined Oliver Wieben’s lab as a graduate student and was co-mentored by Laura Eisenmenger in 2018. My primary research focus was developing, validating, and applying phase contrast MRI (with radially-undersampled accelerated acquisition techniques) to study cardiovascular and cerebrovascular hemodynamics in the context of aging and dementia. Along the way, I developed several post-processing tools for analyzing and visualizing 2D phase contrast and 4D flow MRI data. Check out my dissertation here.

This has led me to my current role as a data scientist at NeoSoft starting in April 2023, where I will be working with a team of experts to help develop software for their 4D flow MRI package as part of their cardiac MRI suite.

Skills

• Programming Languages
  • Most experience: Matlab, R, Python, Bash, Git, C/C++, Stata
  • Some experience: Java, Latex, HTML/CSS, Ruby, EPIC (GE MRI PSD)
• MRI reconstruction
• Image post-processing
• Image segmentation and registration
• Data visualization
• Phantom development
• Biostatistics
• Clinical knowledge
  • X-ray and CT technologist experience
  • Anatomy, physiology, and pathology