Dr. Jinyi Yang

Assistant Professor

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Biography

Jinyi Yang is an observational astronomer who primarily studies high-redshift active galactic nuclei (AGN) and quasars, supermassive black holes (SMBHs), black hole host galaxies, and cosmic reionization. She leads wide-field surveys of distant quasars, yielding the largest sample of luminous reionization-era quasars at redshifts of around 6.5 to 7.6, with discoveries of quasars at redshifts greater than 7.5. Yang has spearheaded optical and near-infrared spectroscopic follow-up surveys of luminous quasars using world-class telescopes such as Keck, VLT, Magellan, Gemini, MMT, and LBT. Her work includes a study on the early growth of SMBHs and the evolution of the intergalactic medium (IGM) during the reionization epoch using comprehensive datasets. Currently, she focuses on utilizing the James Webb Space Telescope (JWST) and the Atacama Large Millimeter/submillimeter Array (ALMA) to conduct follow-up studies on luminous quasars at redshift 7 and how they relate to the IGM evolution. Yang is a principal investigator and co-principal investigator on several JWST programs aimed at in-depth follow-up on the largest sample of luminous z~7 quasars. She also plays a key role in high-redshift quasar surveys using new generation facilities and is a member of various scientific collaborations including the Euclid Consortium and the LSST AGN Science Collaboration.

Research Interests

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science