OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
Abstract:
Understanding the relationships of causes and their effects is crucial to any science, including medicine where precise treatment recommendations can make crucial differences for patient outcomes. Causal Inference helps quantify these relationships with the help of statistical modelling. In this talk, I highlight the value of bounds on causal effects as a stepping stone towards more robust causal analysis. More robust analysis helps justify results in classical biomedicine studies using methods such as Mendelian randomisation, IV and more. Through that, bounds will play a crucial role in making those results more accessible, impactful and ultimately, more successful.
Bio:
Jakob Zeitler researched causal inference under the supervision of Ricardo Silva at University College London during his PhD in Foundational Artificial Intelligence, funded by Google Deepmind. During his PhD he interned at Spotify Research, yielding one paper and two patents. At Oxford, he serves as a Pioneer Fellow in the SMARTbiomed centre, joining Robin Evans group at the Department of Statistics to advance methods of causal inference, machine learning and combined.
Join Zoom Meeting
aarhusuniversity.zoom.us/j/65785246333
Meeting ID: 657 8524 6333
