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Hi! As of September 2024 I am a BCCP Postdoctoral Fellow at UC Berkeley/LBNL, where I work with Prof. Uros Seljak on probabilistic machine learning methods for cosmology. I completed my PhD in physics at Caltech in 2024, under the supervision of Prof. Jamie Bock. I am a member of the SPHEREx cosmology team and the CIBER/CIBER-2 collaboration.

I work on a number of topics in observational cosmology. I am interested in the development and application of statistical methods that enhance studies of cosmic large-scale structure, using imaging from from galaxy surveys and intensity mapping datasets.

I have moonlighted as a developer of the crowded field photometry tool "probabilistic cataloging", (PCAT for short). In particular I have extended the formalism to coherently model point-like and diffuse signals in astronomical images, which is publicly available in the code PCAT-DE (see Projects for more information).

In my free time, I am a musician (saxophone, clarinet, and flute(ish)) and have played/recorded with a number of bands in Los Angeles, including a tour with the group Small Forward! I also enjoy spending time in nature -- I love to hike and I love to bike!

Contact

Feel free to stop by Berkeley or contact me by email at rmfeder@berkeley.edu.