Daniel Gause

I’m a post-baccalaureate researcher at the National Radio Astronomy Observatory (NRAO) in Charlottesville, Virginia. I study protostellar outflows, the jets and winds that young stars launch as they form, by combining archival observations from ALMA, the VLA, and the Hubble Space Telescope.

I first came to NRAO in the summer of 2026 as an intern with the NSF-Simons AI Institute for Cosmic Origins (CosmicAI), where I built MANNA, an open-source tool that lets AI agents search professional astronomy archives directly. I’m also the lead developer of STIPS, a software package built with UC Observatories that brings the Rubin Observatory’s image processing software to 1-meter-class telescopes, which I presented at the 248th meeting of the American Astronomical Society.

Before moving into astronomy full time, I spent five years at Accenture Federal Services building machine learning systems for federal agencies, and volunteered with the Scientific Computing Department at the California Academy of Sciences. I hold a BA in physics and mathematics from Middlebury College, where I searched Hubble archival data for dual quasars. I’m applying to astronomy PhD programs.