YT
Yuan-Sen Ting
The Ohio State University, Australian National University, Harvard University, Institute for Advanced Study
Research areas: Physics and Astronomy · Astronomy and Astrophysics · Stellar, planetary, and galactic studies · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
Employment
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The Ohio State University Associate Professor2024 - Present
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Australian National University Associate Professor (tenured)2022 - 2024
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Australian National University Assistant Professor (tenured)2021 - 2021
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Institute for Advanced Study NASA Hubble Fellow2018 - 2021
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Princeton University Carnegie-Princeton Fellow2017 - 2021
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Observatories of the Carnegie Institution of Washington Carnegie-Princeton Fellow2017 - 2021
Education
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Harvard University Ph.D. in astronomy and astrophysics2014 - 2017
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Harvard University Master's Degree in Astronomy and Astrophysics2012 - 2014
Projects & Funding
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Humboldt Fellowship Alexander von Humboldt Foundation2024 - 2027
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ARC DECRA Fellowship Australian Research Council2022 - Present
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NASA Hubble Fellowship National Aeronautics and Space Administration2018 - 2021
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NASA Earth and Space Science Fellowship National Aeronautics and Space Administration2015 - 2016
Publications (339)
- Anchoring Stellar Age Indicators: A Cross Calibration of [C/N] and Gyrochronology Ages via the Age─Velocity Dispersion Relation Save
- FALCO: Foundation Model of Astronomical Light Curves for Time Domain Astronomy. Implementation and Applications on Kepler Data Save
- Sloan Digital Sky Survey. V. Pioneering Panoptic Spectroscopy Save
- Egent: An Autonomous Agent for Equivalent Width Measurement Save
- High-Precision Differential Radial Velocities of C3PO Wide Binaries: A Test of Modified Newtonian Dynamics (MOND) Save
- LMC-induced perturbations in the Milky Way halo ─ I. HaloDance simulation suite and observational forecasts Save
- Millions of main-sequence binary stars from Gaia BP/RP spectra Save
- Towards Understanding the Milky Way's Matter Field and Dynamical Accretion History based on AI-GS3 Hunter Save
- Towards Unveiling the Origins of the Milky Way Bulge through Multi-band-Messenger Sky Surveys Save
- Why Machine Learning Models Systematically Underestimate Extreme Values II: How to Fix It with LatentNN Save
- AstroMLab 5: Structured Summaries and Concept Extraction for 400,000 Astrophysics Papers Save
- Interpreting deep learning-based stellar mass estimation via causal analysis and mutual information decomposition Save
- Metallicity fluctuation statistics in the interstellar medium and young stars ─ II. Elemental cross-correlations and the structure of chemical abundance space Save
- SPICE -- modelling synthetic spectra of stars with non-homogeneous surfaces Save
- Stellar Parameters of BOSS M dwarfs in SDSS-V DR19 Save
- The dawn is quiet II: Gaia XP constraints on the Milky Way's proto-Galaxy from very metal-poor MDF tails Save
- C3PO. V. Comoving Pairs Indicate Rotational Spin-down Drives the Main-sequence Li-Dip Save
- Deep Learning in Astrophysics Save
- Large Language Models Achieve Gold Medal Performance at the International Olympiad on Astronomy & Astrophysics (IOAA) Save
- Mephisto: Self-Improving Large Language Model-Based Agents for Automated Interpretation of Multi-band Galaxy Observations Save