I am currently a PhD Student at the University of Utah studying image processing and computer vision in Dr. Tolga Tasdizen’s lab.
I graduated with a BS in Mathematics and Statistics from Utah State University in 2019. Then I graduated with an MS in Computing, focusing on data science from The University of Utah in 2022.
My current research is on uncertainty quantification in convolutional neural nets. I am especially interested in the crossover of mathematics, statistics, and computer science. Some other non-research interests are Linux, homelab system administration, and security.
I also love cycling in the summer and skiing in the winter.
Research Interests
- Image Processing
- Computer Vision
- Uncertainty Quantification
Projects
- Semi-supervised Image Segmentation - My Masters project, focusing on improving the accuracy of a segmentation U-Net architecture utilizing unlabeled data.
- PL Season Explorer - A class project, visualizing the 2020 Premier League season stats on the web using D3.js.
Publications
- Improving uranium oxide pathway discernment and generalizability using contrastive self-supervised learning, 2024 - Use multiple views of material with contrastive learning.