Joshua Speagle is an Assistant Professor of Astrostatistics at the University of Toronto who builds statistical and computational methods to extract scientific insight from large, noisy datasets, primarily in astrophysics. With a PhD from Harvard and a decade of research experience spanning postdoctoral fellowships, international collaborations, and a brief industry research stint, he blends rigorous Bayesian and machine-learning approaches with domain expertise in astronomy. He has advised and collaborated across leading institutions (including Kavli IPMU and the Center for Astrophysics) and is comfortable moving between academia and quantitative industry settings. Known for translating complex probabilistic ideas into practical pipelines, he focuses on learning from data rather than just modeling it, and often brings cross-disciplinary perspectives informed by both physics and statistics.
10 years of coding experience
4 years of employment as a software developer
University of Wisconsin-Milwaukee
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at Harvard University
Contributions:71 pushes, 1 branch in 8 years 4 months
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Joshua Speagle - Assistant Professor Of Astrostatistics