Biography, publications, and resume
Biography
Ryan is currently an assistant professor of statistics at UC Berkeley. He earned a PhD in statistics from UC Berkeley advised by Michael Jordan, Tamara Broderick, and Jon McAuliffe, an MSc with distinction in econometrics and mathematical economics from the London School of Economics, and undergraduate degrees in mathematics and engineering mechanics from the University of Illinois in Urbana-Champaign. Ryan has worked as a postdoctoral researcher at MIT under Tamara Broderick, as an engineer for Google and HP, and served for two years as an education volunteer in the US Peace Corps in Kazakhstan. His research interests include machine learning, variational inference, Bayesian methods, and robustness quantification.
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. http://jmlr.org/papers/v19/17-670.html.
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.