I am a National Science Foundation (NSF) Graduate Research Fellow in the Department of Astronomy at Harvard University working with Daniel Eisenstein and Charlie Conroy.
My research broadly focuses on ''big data''-oriented inference where Bayesian modeling and machine learning overlap. This involves both using large datasets to conduct non-parametric, data-driven statistical inference, as well as developing complex statistical models to apply to large datasets. I am especially interested in the ''dregs of science'' regime where lots of data are available but are noisy and/or plagued by large (possibly unknown) systematics. Much of my current work can be found on GitHub.
I am currently involved in the Euclid, HSC, and SDSS-IV MaNGA collaborations.
I am located in Office A-103 at the Harvard-Smithsonian Center for Astrophysics, 60 Garden Street MS-10, Cambridge, MA 02138, USA, and can be reached by email at jspeagle[at]cfa.harvard.edu.