van der Schaar Lab

Richard Doll Seminar in Public Health and Epidemiology

Mihaela van der Schaar will be giving a presentation as part of the ongoing Richard Doll Seminar in Public Health and Epidemiology series, hosted by the Nuffield Department of Population Health at the University of Oxford.

Keynote title:
Machine Learning: Changing the future of healthcare

Medicine stands apart from other areas where machine learning can be applied. While we have seen advances in other fields with lots of data, it is not the volume of data that makes medicine so hard, it is the challenges arising from extracting actionable information from the complexity of the data. It is these challenges that make medicine the most exciting area for anyone who is really interested in the frontiers of machine learning – giving us real-world problems where the solutions are ones that are societally important and which potentially impact on us all. Think Covid 19! In this talk I will show how machine learning is transforming medicine and how medicine is driving new advances in machine learning, including new methodologies in automated machine learning, interpretable and explainable machine learning, dynamic forecasting, and causal inference.

Seminar series description:
The Richard Doll Seminars are hosted by the Nuffield Department of Population Health. They are one of the leading forums within the Medical Sciences Division where topics of significant importance in public health and epidemiology are presented. The seminars are held during academic full term at 1-2 PM on Tuesdays unless otherwise indicated. All welcome.

Visit the event page here.

Mihaela’s presentation will take place on February 16 at 13:00 GMT.

Full list of time zones:
Oxford, United Kingdom Tue, 16 Feb 2021 at 13:00 GMT
Paris, France Tue, 16 Feb 2021 at 14:00 CET
Beijing, China Tue, 16 Feb 2021 at 21:00 CST
New York, USA Tue, 16 Feb 2021 at 08:00 EST
San Francisco, USA Tue, 16 Feb 2021 at 05:00 PST

Click here for more time zones.

The event is finished.


Feb 16 2021


13:00 - 14:00