Schedule

Workshop date: July 18, 2020. All times in EDT.

To join, go to our ICML virtual page for links to Zoom, SlidesLive, and RocketChat.

Morning Program

  • 08:45-09:00 Welcome and Opening Remarks

  • 09:00-9:30 Stephanie Kuku | Hardian Health
    Intended Use: A human-centered approach to developing ML applications for clinical practice

  • 09:30-10:00 Nicole Wheeler | Sanger Institute
    AI-Augmented Genomic Pathogen Surveillance – Promises and Pitfalls

  • 10:00-10:20 Panel Discussion 1

  • 10:20-10:35 Coffee break

  • 10:35-11:05 Contributed Talks

    Tushar Goswamy | IIT Kanpur
    An Unsupervised Learning Approach to Mitigate the Risk of Polio Recurrence in India

    Natalie Davidson | ETH Zurich
    Anonymous Survey System and Methodology to Enable COVID-19 Surveillance

    Girmaw Abebe Tadesse | IBM Research Africa
    Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys

  • 11:05-11:20 Contributed Talks – Q & A

  • 11:20-12:20 Poster Session 1

Afternoon Program

  • 12:20-13:30 Lunch

  • 13:30-14:00 Elaine Nsoesie | Boston University
    Machine Learning and Epidemiology

  • 14:00-14:30 Prabhat Jha | Centre for Global Health Research, Univ of Toronto
    The Million Death Study and Systems for the Early Detection and Prevention of Infant Mortality in India

  • 14:30-14:50 Panel Discussion 2

  • 14:50-15:50 Poster Session 2

  • 15:50-16:20 Contributed Talks

    Iain Marshall | King’s College London
    Using Machine Learning to Analyze and Provide Real-Time Access to all Published Clinical Trial Reports

    Dennis Nunez Fernandez | Universidad Peruana Cayetano Heredia
    Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images

    Caroline Weis | ETH Zurich
    Kernel-based antimicrobial resistance prediction from MALDI-TOF mass spectra

  • 16:20-16:35 Contributed Talks – Q & A

  • 16:40-17:50 Breakout Session + Synthesis

  • 17:50 – 18:05 Closing Remarks