October 28–31, 2019
Zac Yung-Chun Liu
Machine Learning Engineer, Stanford University
Zac Yung-Chun Liu is a machine learning engineer and data scientist. He specializes in machine learning, artificial intelligence applications, remote sensing data processing, biological data processing, and geospatial analysis. His deep learning works and open source projects involve computer vision, image classification, segmentation, object detection, and natural language processing, related to disease ecology and shark conservation.
Sessions
11:50am–12:30pm Wednesday, October 30, 2019
Location: Grand Ballroom A/B
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.
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