Greg Holste

Greg Holste

Ph.D. Student
ECE Department, UT Austin

About Me

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 use and develop computer vision techniques to solve clinical problems. [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 Image Analysis
  • Computer Vision
  • Deep Learning
  • Automated Diagnostics
  • Multimodal Learning

Education

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

    The University of Texas at Austin

  • B.A. in Mathematics, 2016-2020

    Kenyon College

News

  • [June 2022] Paper accepted to IMLH 2022 (ICML 2022 workshop) on self-supervised learning of echocardiogram videos
  • [May 2022] Started my internship with the AI team at Artera
  • [Oct. 2021] One paper accepted to SPIE Medical Imaging 2022 on pediatric rib fracture detection
  • [Aug. 2021] Started my Ph.D. at UT Austin with Atlas Wang!
  • [Aug. 2021] One paper accepted to CVAMD 2021 (ICCV 2021 workshop) on multimodal learning

Contact

  • gholste@utexas.edu