Giulio De Leo
Professor, Biology, Stanford University

Giulio De Leo is a theoretical ecologist by formation. He’s interested in investigating factors and processes driving the dynamics of natural and harvested populations and in understanding how to use this knowledge to inform practical management. He’s the scientific director of the newly established Center for Disease Ecology, Health, and the Environment at Stanford.

Sessions

11:50am–12:30pm Wednesday, October 30, 2019

Location: Grand Ballroom A/B

Building deep learning applications using TensorFlow to combat schistosomiasis

JavaScript

Zac Yung-Chun Liu (Stanford University), Andy Chamberlin (Stanford University), Susanne Sokolow (Stanford University | UC Santa Barbara), Giulio De Leo (Stanford University), Ton Ngo (IBM)

Schistosomiasis is a debilitating parasitic disease that affects more than 250 million people worldwide. Zac Yung-Chun Liu, Andy Chamberlin, Susanne Sokolow, Giulio De Leo, and Ton Ngo detail how to build and deploy deep learning applications to detect disease transmission hotspots, make interventions more efficient and scalable, and help governments and stakeholders make data-driven decisions. Read more.