Talk on inference from time-domain data, from a Bayesian distance ladder built on variable stars to the machine-learned discovery of SN 2011fe, and on training data-literate scientists through Python boot camps and the new Berkeley Institute for Data Science.
The invitation listed the talk as “Big Data Science in Time Domain Astronomy”; the title above is from the slides, which he reused two days later for the CIERA colloquium.