Tianqing Zhang

About Me

I am an observational cosmologist who works with large extragalactic datasets from the Rubin Observatory, the Hyper Suprime-Cam on the Subaru Telescope, and the Nancy Grace Roman Space Telescope to study the large-scale structure of the Universe and the nature of dark energy. My research employs techniques such as weak gravitational lensing and galaxy clustering, and focuses on observational systematics that can bias these analyses, including the Point Spread Function (PSF) and photometric redshift (photo-z) estimation.

I am a Research Assistant Professor at the University of Pittsburgh and a LINCC Frameworks Research Scientist. I received a Ph.D. in Physics from Carnegie Mellon University. I completed my undergraduate studies at Duke University and Shanghai Jiao Tong University. I have been passionate about astronomy since I was 15.

I develop and adapt Machine Learning techniques for photometric redshift estimation and feature extraction. In 2018, I interned as a Natural Language Processing engineer.

I am based in Pittsburgh, PA, and occasionally visit the Bay Area in California.

Outside of research, I enjoy hiking, community-building in astronomy, and playing basketball.
Tannoudji
Point Reyes, CA
Credit: Jocelyn Zhang

Research

My research studies weak gravitational lensing and utilize statistical and machine learning methods to extract information from large photometric survey dataset such as the Vera R. Observatory's LSST, the Subaru Telescope's Hyper Suprime-Cam (HSC), and Roman Space Telescope's High Latitude Imaging Survey.

Contact

Email: tq96zhang@gmail.com