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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
Blending physics and machine learning to improve climate projections

Speaker: Laure Zanna (Courant Institute, New York University)
Occasion: IMSI Opening Conference
Date: October 9, 2020

Bubbles in financial and in art markets

Speaker: José Scheinkman (Columbia University)
Occasion: IMSI Opening Conference
Date: October 9, 2020

Toward predictive digital twins: From physics-based modeling to scientific machine learning

Speaker: Karen Willcox (University of Texas at Austin)
Occasion: IMSI Opening Conference
Date: October 8, 2020

Quantum Computational Supremacy and Its Applications

Speaker: Scott Aaronson (University of Texas at Austin)
Occasion: IMSI Opening Conference
Date: October 8, 2020

Multiscale Finite Element Methods: some recent contributions

Speaker: Claude Le Bris (Ecole des Ponts ParisTech and INRIA)
Occasion: IMSI Opening Conference
Date: October 8, 2020
Slides

Private AI: Machine Learning on Encrypted Data

Speaker: Kristin Lauter (Microsoft Research)
Occasion: IMSI Opening Conference
Date: October 7, 2020

How Data Science and Financial Engineering Can Help Cure Cancer

Speaker: Andrew Lo (MIT Sloan School of Management)
Occasion: IMSI Opening Conference
Date: October 7, 2020

Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design

Speaker: Omar Ghattas (University of Texas at Austin)
Occasion: IMSI Opening Conference
Date: October 7, 2020

Mean Field Games: recent progress and applications

Speaker: Pierre-Louis Lions (Collège de France)
Occasion: IMSI Opening Conference
Date: October 7, 2020
Slides