I am currently a statistics postdoc in Tamara Broderick’s group at MIT. I received my PhD in statistics from UC Berkeley, where I was advised by Michael Jordan, Tamara Broderick, and Jon McAuliffe. I’ve additionally earned an MSc with distinction in econometrics and mathematical economics from the London School of Economics and undergraduate degrees in mathematics and theoretical and applied mechanics from the University of Illinois in Urbana-Champaign. In between studies, I have worked as an engineer for Google and HP and served as an education volunteer in the US Peace Corps in Kazakhstan. My current research interests include variational methods, Bayesian robustness, sensitivity analysis, open software. I also have an amateur interest in the philosophy of science.

Here is my most recent resume.

Peer-Reviewed Publications

Giordano, R. J., T. Broderick, and M. I. Jordan. 2015. “Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes.” In Advances in Neural Information Processing Systems, 1441–9.

Giordano, R., W. Stephenson, R. Liu, M. I. Jordan, and T. Broderick. 2019. “A Swiss Army Infinitesimal Jackknife.” In The 22nd International Conference on Artificial Intelligence and Statistics, 1139–47.

Giordano, Ryan, Tamara Broderick, and Michael I. Jordan. 2018. “Covariances, Robustness, and Variational Bayes.” Journal of Machine Learning Research 19 (51): 1–49.

Regier, J., K. Pamnany, K. Fischer, A. Noack, M. Lam, J. Revels, S. Howard, R. Giordano, D. Schlegel, and J. McAuliffe. 2018. “Cataloging the Visible Universe Through Bayesian Inference at Petascale.” In 2018 Ieee International Parallel and Distributed Processing Symposium (Ipdps), 44–53. IEEE.

Winther, R., R. Giordano, M. Edge, and R. Nielsen. 2015. “The Mind, the Lab, and the Field: Three Kinds of Populations in Scientific Practice.” Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 52. Elsevier: 12–21.

Workshop publications and working drafts can be found on my arxiv page.