NUS AI, Data Science and Informatics in Astronomy

NADIA

The NADIA group combines artificial intelligence and data science with astronomy to discover new frontiers in stellar astrophysics and exoplanet science.

Astronomy research

Research Interests

Asteroseismology

Listening to the sounds of stars to reveal their interiors.

Exoplanetary Science

Detection and characterization of exoplanets and their atmospheres, using missions like JWST, Roman.

Galactic Archeology

Piecing together the history of our galaxy with chemical, kinematic, and seismic data.

Data-Driven Stellar Modelling

Characterizing and mitigating stellar activity signals that complicate exoplanet detection and characterization.

Time-Domain Machine Learning

Pioneering applications of convolutional neural networks, transformers, and other architectures to time domain astronomy.

Anomaly Detection

Developing scalable methods to process and analyze the enormous datasets from current and future sky surveys for rogue objects and weird phenomena.

Missions Behind Our Data

TESS Insignia TESS
Gaia Insignia Gaia
Kepler Logo Kepler
Nancy Grace Roman Logo Roman
Vera C. Rubin Observatory Logo LSST
Plato Logo Plato
Cheops Logo CHEOPS
JWST Logo JWST
SDSS Logo SDSS
GALAH Logo GALAH

Collaborations

NUS Logo National University of Singapore
NASA Logo NASA
MIT Logo Massachusetts Institute of Technology