معرفی
Andrew J. Connolly is Professor in the Department of Astronomy at the University of Washington, Director of the eScience Institute, Associate Vice Provost for Data Science, and William P. and Ruth Gerberding University Professor. He also serves as Adjunct Faculty in the Paul G. Allen School of Computer Science & Engineering.
His research focuses on data-intensive astronomy, developing computational tools for massive surveys like the Sloan Digital Sky Survey and Legacy Survey of Space and Time (LSST). Key interests include cosmology through galaxy clustering and weak gravitational lensing, photometric redshift estimation, time-domain astronomy, and solar system studies. He pioneers machine learning applications in astrophysics, co-authoring the seminal textbook Statistics, Data Mining, and Machine Learning in Astronomy.
- William P. and Ruth Gerberding University Professor
Connolly advises a large research group with current members Bryce Kalmbach, Chris Suberlak, Stephen Portillo, Kyle Boone, Hayden Smotherman, Dino Bektesevic, and John Franklin Crenshaw. His former students include Scott Daniel, Simon Krughoff, and Jake Vander Plas. His work receives significant support through initiatives like the Schmidt Futures Foundation-sponsored LINCC partnership for LSST data processing.
He leads the eScience Institute as a hub for cross-disciplinary data science, founding the DiRAC Institute for astronomy-focused data science. Current projects involve cloud-native frameworks (Spark, Kubernetes, Kafka) for Rubin Observatory data and expanding data science education through Hackweeks, Bootcamps, and Data Science for Social Good programs.
