Liberal Arts and Sciences
Tayar Lab
Led by Jamie Tayar · Astronomy
What we study
The Tayar Lab studies stars, focusing on how they evolve and change. They use data analysis techniques like asteroseismology and spectroscopy, along with 1-D stellar evolution models, to improve our understanding of stellar physics.
What working here is like
- Computational
- Coding helps
- Papers
- 5
Recent papers, explained
- The Two-infall Model Revisited: Constraints on Milky Way Bulge Assembly from >30,000 Galactic Chemical Evolution Models and Machine Learning
2026 · The Astrophysical Journal
Uses machine learning to model Milky Way bulge formation with a two-infall scenario.
- The YREC Stellar Evolution Code: Public Data Release
2026 · The Astrophysical Journal
Releases a public stellar evolution code for brown dwarfs and stars, useful for research and teaching.
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- TESS Asteroseismology of Red Giants in the Old Supersolar-metallicity Open Clusters NGC 188 and NGC 6791
2026 · The Astrophysical Journal
Compares TESS and Kepler data for red giants in NGC 188 and NGC 6791, finding a 2.2% offset.
- Evolved Stars with Inconsistent Age Estimates: Abundance Outliers or Mass Transfer Products?
2026 · The Astrophysical Journal
Shows that some stars' abundances don't match their ages, suggesting mass transfer.
- Likely Metal Scarring in the Magnetic White Dwarf LHS 2534
2026 · Research Notes of the AAS
Finds metal scarring on a white dwarf by tracking Na and Cr features over 19 hours.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Jamie Tayar hasn't set up this page yet. Their UF Scholars profile lists their publications.