May 16, 2019
Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University, Founder and Director of the Rice Center for Transforming Data to Knowledge and Investigator with the Neurological Research Institute with the Baylor College of Medicine.
Genevera caused quite the stir at the American Association for the Advancement of Science meeting earlier this year with her presentation “Can We Trust Data-Driven Discoveries?" In our conversation we cover:
• The goal of Genevera's talk, and what was lost in translation.
• Use cases outlining the shortcomings of current machine learning techniques.
• Reproducibility, including inference vs discovery, and the lack of terminology for many of the various reproducibility issues, & much more!
The complete show notes for this episode can be found at twimlai.com/talk/266.