COVID-19

← Research Workshops

Session II: Data Science I

Moderator: Xiao-Li Meng (Harvard University)
Occasion: Dealing with COVID-19 in Theory and Practice
Date: October 29, 2020

Presenters

  • Mihaela van der Schaar (Cambridge University)
    Interpretable AutoML: powering the machine learning revolution in healthcare in the era of Covid-19 and beyond
    (@ 00:07:00)
  • Michael Jordan (Berkeley)
    On Identifying and Mitigating Bias in the Estimation of the Covid-19 Case Fatality Rate
Session I: Public Health

Moderator: Rena Conti (Boston University)
Occasion: Dealing with COVID-19 in Theory and Practice
Date: October 29, 2020

Presenters

  • Sarah E. Cobey (University of Chicago)
    Reconstructing a pandemic from very messy observations (@ 00:07:00)
  • Nigel Goldenfeld (UIUC) and Sergei Maslov (UIUC)
    Models of COVID-19 spread and mitigation on a university campus and beyond
  • Rupam Bhattacharyya, Bhramar Mukherjee, and Maxwell Salvatore (University of Michigan) and Debashree Ray (Johns Hopkins)
    Predictions, role of interventions and implications of a national lockdown on the COVID-19 outbreak in India