CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks

Compressible latent-space invertible networks for generative model-constrained image reconstruction

On hallucinations in tomographic image reconstruction

Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs

Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

Talks

Learning stochastic object model from noisy imaging measurements using AmbientGANs

February 21, 2019

Conference proceeding talk at SPIE Medical Imaging 2019, San Diego, California

Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks

February 20, 2020

Conference proceeding talk at SPIE Medical Imaging 2020, Houston, Texas

Assessing regularization in tomographic imaging via hallucinations in the null space

February 15, 2021

Conference proceeding talk at SPIE Medical Imaging 2021, Online

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams