Discussion with Peter Broadwell and Peter Leonard

Speakers

Peter Broadwell

Peter Broadwell is the head of AI modeling and inference in Research Data Services at the Stanford University Libraries, where his team’s work applies AI and machine learning, web-based visualization, and other methods of digital analysis to complex cultural data. 

He has a Ph.D. in musicology from UCLA and an M.S. in computer science from the University of California, Berkeley. Recently, he has contributed to projects involving automatic translation and indexing of folklore collections in multiple languages, deep learning-based analyses of theater choreography from video sources, and web-based parsing and playback of digitized player piano rolls.

Peter Leonard

Peter Leonard is an academic librarian with fifteen years’ experience in research universities, including Columbia, Yale, and Stanford.  He founded the Yale Digital Humanities Lab, where he also taught in the Department of Statistics and Data Science. He received his Ph.D. in Scandinavian literature from the University of Washington, and was awarded a Fulbright Fellowship to Uppsala University in support of his doctoral research on Swedish fiction. His postdoctoral work on text-mining Nordic literature was funded by Google. He currently serves on the scientific advisory board for Sweden’s national digital humanities infrastructure.