Haley Bowden, Teaching Award
Teaching Experience and Awards: Teaching Assistant for ASTR 400A: Theoretical Astrophysics: Stars (Fall 2023)
Research Interests: Haley’s research is focused on using machine learning and cosmological simulations to study galaxy evolution and dark matter. Their current research with Dr. Peter Behroozi is focused on galaxies’ host dark matter halos and the role they play in shaping galaxy evolution. They study this connection using neural networks to learn about the invisible underlying dark matter halo properties. They also work with Dr. Tim Eifler on using future galaxy surveys to study cosmology.
Haowen Zhang, Scholarship Award
Selected Publications and Awards: Zhang, Primack, Faber, Koo, et al., “The evolution of galaxy shapes in CANDELS: from prolate to discy”, MNRAS 484, 5170 (2019). • Zhang, Behroozi, Volonteri et al., “TRINITY I: Self- Consistently Modeling the Dark Matter Halo–Galaxy– Supermassive Black Hole Connection from z=0−10”, MNRAS, 518, 2123 (2023) • Zhang, Behroozi, Volonteri et al., “TRINITY II: The Luminosity-dependent Bias of the Supermassive Black Hole Mass–Galaxy Mass Relation for Bright Quasars at z=6”, MNRAS, 523, L59 (2023) • 2023 Theoretical Astrophysics Program (TAP) Graduate Student Research Prize, UArizona
Research Interests: I am interested in two important aspects of galaxy formation and evolution: 1) what do supermassive black holes in galaxy centers look like in different galaxies and cosmic times? 2) What are the 3-dimensional shapes of galaxies, and how do theyevolve with other galaxy properties, such as masses and ages? Beyond these, I am also broadly interested in the large scale structure of dark matter in our Universe, as well as applying machine learning techniques to astronomy research.