Research

Astrostatistics for survey data.

I develop statistical and machine-learning methods for astronomical surveys, with projects in galaxy and IFU segmentation, transient follow-up, spectral classification, Galactic structure, weak-lensing maps, and open research software.

Research Interests

Research directions.

The recurring problems in my papers and software are inference with incomplete data, survey-scale machine learning, transient discovery, segmentation, spectra, cosmic structure, and collaborative infrastructure through COIN.

Research highlights.

Community

COIN and the collaborative side of astrostatistics.

I founded and co-chair the Cosmostatistics Initiative, an international network that brings astronomers, statisticians, computer scientists, and software developers into shared projects. COIN has shaped work on LSST, Fink, DES, J-PAS, time-domain science, galaxy morphology, and inference for complex data.

COIN Cosmostatistics Initiative Projects People Highlights