Professor Eisenstein's work currently focuses on several themes. 1) He is active in the development and analysis of large redshift surveys. At present, this attention is largely on DESI, an ambitious new instrument that began its survey in May 2021 and that is already collecting extragalactic redshifts at a rate of over 100K per night. His students are working on DESI target selection, survey design, and mock catalogs. He also is a member of the SDSS-IV and Euclid consortia.

2) He pursues the development of new statistical methods for the interpretation of large-scale structure. Recent examples are development of practical methods for the three-point correlation function, development of fast estimation of covariance matrices for two-point clustering, application of neural nets to inference from large-scale structure, and studies of halo occupations and their impact on large-scale clustering.

3) He is actively developing the novel Abacus code for high-performance cosmological N-body simulations. His group used Abacus at the Oak Ridge Leadership Computing Facility GPU-based supercomputer Summit to generate the AbacusSummit suite of high-accuracy large-volume cosmological simulations, designed to support the testing of cosmological statistical inferences in DESI and other surveys. This enormous data set of 60 trillion particles and over 2 PB of data products is now publicly available!

4) As part of the JWST Near-Infrared Camera team, he is preparing for the observation, reduction, and analysis of the JADES program, a very deep imaging and spectroscopic view of high-redshift galaxy evolution in the GOODS-S and GOODS-N fields.

5) He participates in the planning for next-generation telescopes and facilities, notably the Giant Magellan Telescope.