Sean Moran
PhD Student @ University of Michigan Bioinformatics
focused on generative modeling, world models, and representation learning. I build end-to-end systems from data preparation and training infrastructure through evaluation and demos, with particular interest in learned state spaces, latent dynamics, and controllable generative modeling.
Read more about:
- Bio/Resume/CV
- Hi-C World (Paper, TBD)
- Diffusion Transformer DOOM (Project, 2026)
- Video Shim (Project, 2025)
- Quagga (Paper, 2025)
Or the website!
Selected Publications:
Moran, S. P., Feng, F., et al. "Statistically rigorous and computationally efficient chromatin stripe detection with Quagga". Genome Research. 2026. [.pdf]
Best viewed with curiosity.