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.


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


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

    The University of Texas at Austin

  • B.A. in Mathematics, 2016-2020

    Kenyon College