Curriculum Vitae
Ruancun Li β’ Postdoctoral Fellow at Max Planck Institute for Extraterrestrial Physics
Work Experience
Education
Honors & Awards
Mentoring
Professional Services
Selected First/Corresponding Author Publications
All Publications →The Host Galaxy and Rapidly Evolving Broad-line Region in the Changing-look Active Galactic Nucleus 1ES 1927+654
Authors: Li, R., Ho, L. C., Ricci, C., et al.
ApJ, 933(1):70 β’ 2022
Investigating the host galaxy properties and the rapidly transforming broad-line region in the remarkable changing-look active galactic nucleus 1ES 1927+654.
Accretion Disk Outflow during the X-Ray Flare of the Super-Eddington Active Nucleus of I Zwicky 1
Authors: Ding, Y., Li, R.*, Ho, L. C., and Ricci, C.
ApJ, 931(2):77 β’ 2022
Constraining accretion disk outflow physics and radiation dynamics during an intense X-ray flare in super-Eddington AGN I Zwicky 1.
The Interplay between the Disk and Corona of the Changing-look Active Galactic Nucleus 1ES 1927+654
Authors: Li, R., Ricci, C., Ho, L. C., et al.
ApJ, 975(1):140 β’ 2024
Exploring multiwavelength variations and the detailed coupling between the inner accretion disk and the X-ray corona during the state transitions of 1ES 1927+654.
A Two-zone Accretion Disk in the Changing-look Active Galactic Nucleus 1ES 1927+654: Physical Implications for Tidal Disruption Events and Super-Eddington Accretion
Authors: Li, R., Ho, L. C., Ricci, C., and Trakhtenbrot, B.
ApJ, 975(1):50 β’ 2024
Modeling the spectral evolution of 1ES 1927+654 with a two-zone accretion disk, drawing key physical connections with tidal disruption events and super-Eddington regimes.
The Dichotomy in the Nuclear and Host Galaxy Properties of High-redshift Quasars
Authors: Li, R., Ho, L. C., Chen, C. H.
ApJ, 999:70 β’ 2026
Systematic study of the relationship and dichotomy between central supermassive black hole growth and host galaxy properties at high redshift.
Technical Strengths
Computer Languages
Python, C++, Shell, Fortran
Imaging Analysis
Image processing, Photometry, Structure decomposition
Spectra Analysis
Line decomposition, Modelling broad emission lines
Time Series Analysis
Gaussian processes, Auto-regression
Machine Learning
Random forest, Convolutional Neural Networks (CNN)