Yuan-Sen Ting (丁源森)
Scholar

Yuan-Sen Ting (丁源森)

Google Scholar ID: FNvucsoAAAAJ
The Ohio State University
Astrophysics and Machine Learning
Citations & Impact
All-time
Citations
9,321
 
H-index
50
 
i10-index
143
 
Publications
20
 
Co-authors
129
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Background
  • Astrophysicist and AI x Science researcher
  • Research interests include: Galaxy Evolution, Stellar Astrophysics, Cosmology/Reionization, Planetary Systems, Large Language Models for astronomy, and Simulation-Based Inference
  • Focuses on advancing astronomy through modern deep learning to tackle complex, nonlinear inverse problems across cosmic scales
  • Actively analyzes data from major surveys: spectroscopic (SDSS-V, DESI, 4MOST), astrometric (Gaia), photometric (Euclid, Roman, CSST), and time-domain (LSST, TESS, PLATO)
  • Principal Investigator of the AstroMLab collaboration (formerly UniverseTBD), working with Oak Ridge National Laboratory and the Astrophysics Data System (ADS) to build astronomy-specific large language models
  • Aims to develop end-to-end autonomous 'AI x Scientist' systems to accelerate astronomical discovery