Contacts
Ph.D. (Harvard, 2017) AM (Harvard, 2014)
Astronomer
Research interests
Near field cosmology, chemical tagging, stellar spectroscopy, chemodynamics models of the Milky Way, machine learning, neural network, stellar populations
Projects
- Supervisor, Astrogenetic: Unravelling the History of the Milky Way with Phylogenetic Methods
- Supervisor, Harnessing the Spectroscopic Fingerprints of Stars through Domain Adaptation
- Supervisor, Improving Telescope Operations via Explainable AI and Reinforcement Learning
- Supervisor, Mapping Dark Matter in the Milky Way via Physics-Inspired Neural Networks
- Supervisor, Signatures of planet ingestion among binary stars
