Postdoctoral Research Fellow at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
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Summary
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Senior
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Alex Gagliano is a postdoctoral research fellow at MIT and the Harvard Center for Astrophysics who applies machine learning to time-domain astrophysics, with a Ph.D. in Astronomy from UIUC and a BS in Computational Modeling and Data Analytics from Virginia Tech. He has eight years of experience building automated analysis pipelines for massive, unstructured datasets and excels in international, collaborative science environments. His work focuses on improving statistical and deep-learning techniques to analyze explosive transients and their local environments, bridging theoretical modeling and observational inference. Past roles span national labs and observatories, from integrating chemical networks into cosmological simulations at Los Alamos to cataloging globular clusters at Cerro Tololo, reflecting both computational depth and hands-on astronomy. He has a strong outreach and pedagogy record—developing data-science curricula and 3D-printed gravitational wave demos for underprivileged schools—indicating a talent for translating complex science to broader audiences. Based in Cambridge, MA, he combines rigorous simulation experience with deployment-minded ML research aimed at making transient astronomy more interpretable and scalable.
8 years of coding experience
3 years of employment as a software developer
Virginia Tech
Stone Bridge High School
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at University of Illinois Urbana-Champaign
Contributions:33 releases, 1 review, 5 PRs in 7 months
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Alex Gagliano - Postdoctoral Research Fellow at Massachusetts Institute of Technology