Stephen Portillo



Research Interests

Big Data, Bayesian Inference


Stephen Portillo is a DiRAC & UW Data Science Postdoctoral Fellow at the University of Washington. He completed his BSc in Astrophysics at the University of Alberta and his PhD in Astronomy & Astrophysics at Harvard University. In his research, Stephen develops data analysis techniques to address data challenges in astronomy using advances in statistics and machine learning. He has used tools ranging from transdimensional Bayesian inference in his work on crowded field cataloging to deep generative models in his work with large spectral datasets.