I am an electrical and computer engineering PhD student at Vanderbilt University performing medical imaging research in the MASI Lab.
My research focuses on estimating information from MRI where we are missing data we would like to have.
Learn more about my work and research experience, as well as what skills I have to offer.
We found and corrected a bias in quantitative T1 methods using a patch-based deep learning model.
We published our work on creating eye atlases from low-resolution MRI.
I presented a TED-style talk highlighting the aims of my honors thesis research into diabetic retinopathy imaging and deep learning.
I graduated summa cum laude from the University of Dayton with a Bachelor of Electrical Engineering.
I accepted a PhD offer from Vanderbilt University at the MASI Lab under Dr. Bennett Landman.
I attended SPIE Medical Imaging for the first time and presented research I performed last summer on comparing whole-slide image classification algorithms.
I spent the summer at Oak Ridge National Lab, performing exciting research into designing machine learning algorithms for cancer detection from whole-slide i...
