About Me
I am a 5th year CS grad student at USC. My research is focused on machine learning and its applications to medical imaging, specifically MRI and the human brain. My advisors are Greg Ver Steeg and Paul Thompson.
News
 20181201: Went to NeurIPS (Neural Information Processing Systems) in Montreal to present Invariant Representations without Adversarial Training [arXiv].
 20181128: We've renamed our paper from Evading the Adversary in Invariant Representations to Invariant Representations without Adversarial Training [arXiv], hopefully that should clear up some confusion.
 20180918: Congrats to Fabian Corlier on his accepted paper at SIPAIM18!
 20180916: Went to MICCAI 2018, it was a great conference! I gave at talk at the CDMRI Workshop, and won their Best Oral Presentation.
Research
Invariant Representations [link]:
Often we want a representation of our data that is invariant to known
outside factors:
 scans ⊥ site
 images ⊥ rotations
 predictions ⊥ protected classes.
Continuous Brain Connectivity [link]:
Brain connectivity is synonymous with discrete brain networks.
Connectivity, however, persists without explicit subsets and can be generalized to
continuous coordinate systems.
This project explores the continuous connectivity paradigm.
Selected Publications and Preprints
See the full list here: [link]

Invariant Representations without Adversarial Training
D Moyer, S Gao, R Brekelmans, G Ver Steeg, A Galstyan
Neural Information Processing Systems (NIPS) 2018 Paper (arXiv)  Code (GitHub)
 Formerly titled "Evading the Adversary in Invariant Representations"

Measures of Tractography Convergence
D Moyer, PM Thompson, G Ver Steeg
MICCAI CDMRI (Computational Diffusion MRI) Workshop, 2018
 Paper (arXiv)  Code  Slides
 Best Oral Presentation Award

Continuous Representations of Brain Connectivity using Spatial Point Processes
D Moyer, B Gutman, N Jahanshad, J Faskowitz, PM Thompson
Medical Image Analysis (MedIA) 2017. Paper (PubMed)  Code (GitHub)
 Journal form of Continuous Connectivity, MICCAI 2016

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex
D Moyer, B Gutman, N Jahanshad, PM Thompson
Information Processing in Medical Imaging (IPMI) 2017. 
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. Paper PDF (arXiv)  Code (GitHub)  Talk (YouTube)
 Oral Presentation  Travel Grant  Young Scientist Award (Top 5 student papers)
Mathematics is very much like poetry. What makes a good poem  a great poem  is that there is a large amount of thought expressed in very few words. In this sense \[e^{\pi i} + 1 = 0 ~~~\text{ or }~~~ \int_{\infty}^{\infty} e^{x^2}dx = \sqrt{\pi}\] are poems
Lipman Bers
Other random stuff (unsorted).
This website design was copied lockstockandbarrel from Sam Way.