Greg Holste

Greg Holste

Ph.D. Student
ECE Department, UT Austin

I am a Ph.D. student in Electrical Engineering at The University of Texas at Austin advised by Atlas Wang. As part of the Visual Informatics @ UT Austin (VITA) group, I develop deep learning and computer vision techniques to solve clinical decision-making and medical image analysis problems. My research is funded by the NSF Graduate Research Fellowship Program (GRFP). [CV]

Previously, I have worked with the Medical Imaging and Data Integration (MIDI) Lab at Michigan State University under Adam Alessio on multimodal learning for breast cancer prediction and pediatric rib fracture detection.

Interests

  • Medical Computer Vision
  • Automated Diagnosis
  • Multimodal Learning
  • Self-Supervised Learning
  • Imbalanced Learning

Education

  • Ph.D. in Electrical Engineering, 2021-present

    The University of Texas at Austin

  • B.A. in Mathematics, 2016-2020

    Kenyon College