معرفی
Tianqing Zhang is a Research Assistant Professor in the Department of Physics & Astronomy at the University of Pittsburgh, affiliated with the Dietrich School. His research focuses on cosmology and astrophysics, with expertise in weak lensing analysis, photometric redshift estimation, and large-scale survey methodologies. Key projects include studies with the Hyper Suprime-Cam (HSC) survey, Rubin Legacy Survey of Space and Time (LSST), and Nancy Grace Roman Space Telescope. He develops advanced tools like the Redshift Assessment Infrastructure Layers (RAIL) and BlendingToolKit to address challenges in galaxy cataloging and systematics mitigation.
His work spans cosmic shear analysis in harmonic and real spaces, baryonic effects on small-scale structures, and chromatic impacts on shear measurements. Zhang collaborates extensively on next-generation survey simulations (e.g., OpenUniverse2024) and neural posterior estimation techniques for astronomical image processing. His contributions bridge observational data challenges with theoretical cosmological modeling, emphasizing precision in parameter estimation and survey design optimization.
While no specific awards are listed, his affiliation with high-impact cosmology projects indicates recognition in his field. Advising and grant details are not explicitly provided in available texts.
