Gaussian process nowcasting: application to COVID-19 mortality reporting

Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P. Schnekenberg, Charles Whittaker, Michaela Vollmer, Seth Flaxman, Samir Bhatt, Thomas A. Mellan
December 2021
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Uncertainty in Artificial Intelligence
Iwona Hawryluk
Iwona Hawryluk
PhD Student

I use machine learning methods to understand infectious diseases dynamics.

Swapnil Mishra
Swapnil Mishra
Assistant Professor of Machine Learning and Public Health

I primarily work at intersection of public health, machine learning and Bayesian modelling.

Xenia Miscouridou
Xenia Miscouridou
Lecturer

I develop statistical machine learning methods to solve scientific questions with impact in real life.

Charles Whittaker
Charles Whittaker
Sir Henry Wellcome Postdoctoral Fellow

My work involves modelling infectious disease transmission dynamics.

Seth Flaxman
Seth Flaxman
Associate Professor

My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.

Samir Bhatt
Samir Bhatt
Professor of Machine Learning, Statistics and Public Health

I focus on mathematical, statistical and computer science tools to answer questions about human health.