Daniel Moyer

Asst. Prof., Vanderbilt CS

daniel [dot] moyer [at] vanderbilt [dot] edu

About Me

I am an Assistant Professor of Computer Science at Vanderbilt University. Please reach out if you want to collaborate!

I previously was a Post-Doc at MIT CSAIL working with Polina Golland, and prior to that a CS grad student at USC under Greg Ver Steeg and Paul Thompson. My research is focused on machine learning and its applications to medical imaging.


  • 2022-5-03: Moving to Vanderbilt!
  • 2021-11-03: Congrats to Peiqi and Razvan on their NeurIPS workshop papers; arxiv links to follow.
  • 2021-05-15: MICCAI Early Accept of our Equivariant tracking paper!
  • 2021-05-12: Thanks to Julia Gong for inviting me to talk to her seminar at Stanford.
  • 2021-03-01: I'll be talking at the Dipy workshop (virtually) this year.
  • 2021-03-01: Congrats to Malte, Borjan, and the Fetal team at BCH/HMS/MIT, our automated prescription abstract was accepted at ISMRM
  • 2020-10-01: Our paper on the Worst Scanner Syndrome in Harmonization will be in MedNeurIPS workshop.

Selected Publications and Preprints

See the full list here: [link]

  1. Equivariant Filters for Efficient Tracking in 3D Imaging
    D Moyer, EA Turk, PE Grant, WM Wells, P Golland
    MICCAI 2021 (upcoming)
  2. Scanner Invariant Representations for Diffusion MRI Harmonization
    D Moyer, G Ver Steeg, CMW Tax, PM Thompson
    Magn Reson in Med., 2020; 00: 1– 16.
  3. Invariant Representations without Adversarial Training
    D Moyer, S Gao, R Brekelmans, G Ver Steeg, A Galstyan
    Neural Information Processing Systems (NIPS) 2018
  4. A Continuous Model of Cortical Connectivity
    D Moyer, B Gutman, N Jahanshad, J Faskowitz, PM Thompson
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.

Other Links and Attribution

Random collections (unsorted).

Helpful Links for humans talking to computers.

This website design was copied lock-stock-and-barrel from Sam Way.