My research focuses on clusters of galaxies, the largest collapsed objects in the Universe, using X-ray space telescopes (Chandra, XMM-Newton, Suzaku). I am best known for providing observational constraints on the microphysical properties of the intracluster medium and connecting it with the large-scale evolution of galaxy clusters. I also study AGN feedback at centers of clusters and early-type galaxies using X-ray, radio, and optical observations. I am interested in using machine learning techniques to extract information in observational data that is inaccessible by conventional methods. My research has been supported by NSF, NASA, SAO, and NRAO.  

I am deeply honored to receive the 2024 Early Career Prize from the High Energy Astrophysics Division of the American Astronomy Society https://head.aas.org/awards/earlycareer/earlycareer.prize.html

Ph. D., University of Alabama (2013)

Postdoc Fellow, University of California Irvine (2013-2015)

Postdoc Fellow, Harvard-Smithsonian Center for Astrophysics (2015-2018)

PHY600:  Machine Learning And Data Science In Physics And Astronomy 

AST310: Topics in Astronomy

AST191: The Solar System 

AST192: Stars, Galaxies And The Universe

PHY160: Physics and Astronomy for teachers

Postdoc:

Valeria Olivares  2020 -- 2023, now postdoc at NASA

Graduate Students:

Arnab Sarkar 2019 -- 2022, now postdoc at MIT

Sheng-Chieh Lin 2020 -- present, McAdam fellow 

Ryan Martinez-Eskenasy  2021 -- present