Clone of Alumni

I am interested in various aspects of large-scale structure cosmology. At Arizona cosmology lab, I am primarily working to develop analysis methods for performing field level inference of weak lensing and for combined analysis of spectroscopic and photometric galaxy surveys. I am also interested in forward-modeled reconstruction methods and in using local measurements of peculiar velocities for cosmological analysis.

Quant Researcher (A.R.T. Advisors 2022-)
BCCP Fellow (UC Berkeley, 2021-2022)
Arizona Cosmology Lab Fellow (2018-2021)

I work on a broad range of topics, from observational cosmology to compact objects and stellar dynamics. 

Software Engineer (Apple, 2023 - )
Arizona Cosmology Lab Fellow (2019-2023)

I'm a data-driven astrophysics researcher with extensive experience in utilizing statistical and machine learning techniques to maximize data impact and derive scientific insights.

 

JSPS Postdoctoral Fellow (Kyoto, 2024 -)
Arizona Cosmology Lab Fellow (2021-2023)

My research interest is on the large-scale structure of the Universe, in particular the clustering properties of galaxies and dark matter halos. I have been developing machine learning-based modeling to infer cosmology from the galaxy spectroscopic surveys. I am interested in machine learning and statistical methods which improve the cosmological analysis of survey data. At the University of Arizona, I work on the galaxy power spectrum analysis as a member of the SPHEREx survey.

Assistant Professor of Physics and Astronomy (YITP, Stony Brook University, 2022- )
Arizona Cosmology Lab Research Scientist (2021-2022)
Arizona Cosmology Lab Fellow (2018-2022)

Arizona Cosmology Lab Postdoctoral Fellow
LSST-DESC Pipeline Scientist

My current research focuses on accurate physical modeling of systematics in cosmological analyses using galaxy clusters and developing a way to identify high-redshift galaxy clusters by jointly using data from photometric and spectroscopic galaxy surveys. The coming decade of cluster cosmology will be interesting, as the next-generation X-ray and optical cluster surveys (e.g., e-ROSITA and LSST) are expected to detect more than 100,000 galaxy clusters.