Machine Learning Gyrochronology

Project Description

This astronomy research project focuses on developing a machine learning tool to obtain reliable stellar ages from rotation periods. The project will create an open-source Python package called the “Machine Learning Gyrochronology Age Estimator” that automatically estimates stellar ages using gyrochronology—the method of dating stars by measuring how fast they rotate.

Interns contribute across the full development pipeline, including automated data retrieval systems, time-series analysis routines to detect stellar rotation periods, and building machine learning models to predict stellar ages with uncertainty quantification.

Mentor

Melinda Soares-Furtado

Interns

• Amit Dethe (Spring 2026)

Lightning Talks

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