Alexander Gagliano

During his time at the Center for Computational Astrophysics, Alexander Gagliano examined on photometric classification of supernovae, neural networks and machine learning. He worked primarily with Flatiron Institute scientists Dan Foreman-Mackey, Gabriella Contardo and Shirley Ho.

Gagliano achieved his B.S. in computational modeling and data analytics from Virginia Tech. He is currently a Ph.D. candidate at the University of Illinois at Urbana-Champaign and expected to graduate in the spring of 2023.

Following his time at the Flatiron Institute, Gagliano returned to Illinois as a National Science Foundation (NSF) Graduate Research Fellow. His current research includes progenitor physics of supernovae, tidal disruption events and fast radio burst; local correlations and multi-scale feedback between supernovae and their host galaxies. He is also the founder of astro[sound]bites, a graduate student-led podcast highlighting the work of early-career researchers in astrophysics, as well as coordinator of Astronomy on Tap Champaign-Urbana, co-lead for Machine Learning for Transient Science, and a Collaboration Council member within the Dark Energy Science Collaboration.

Gagliano is an NSF Graduate Research Fellow, Fellow of the Center for Astrophysical Surveys at UIUC, member of the Dark Energy Science Collaboration and the Young Supernova Experiment. In 2017, he launched a sound-based astronomy exhibit in Goa, India for the Story of Space. In 2021, he was awarded the American Statistical Association Astrostatistics Interest Group’s Best Student Paper Award.