Nabeel Rehemtulla

Productionizing AI for time domain astronomy

I'm a fifth year Northwestern Astronomy PhD candidate advised by Adam A. Miller interested in deploying AI tools into real-time workflows for large astronomical time-domain surveys

I've done work on automatically requesting spectroscopic follow-up for transients, including rapid-response observations of young transients from powerful ground- and space-based facilities. I favor using computer vision models for these analyses and other production-critical tasks.

I'm also a DESI External Collaborator with the Milky Way Survey team. With them, I work on modeling the Milky Way's cumulative mass profile with a non-parametric modeling tool I developed called NIMBLE.