Free

Event Information

Share this event

Date and Time

Location

Location

London School of Hygiene & Tropical Medicine

Keppel Street

Bloomsbury

London

WC1E 7HT

United Kingdom

View Map

Event description
Please only book onto this event if you plan to attend, to help us manage the space and ensure a full room.

About this Event

Turing ASG Lecture, as part of the Turing AI for Science and Government initiative

Society is drowning in data and the current practice of learning from data is to apply traditional statistical methods that are too simplistic, arbitrarily chosen, and subject to manipulation. Nonetheless, these methods inform policy and science, affecting our sense of reality and judgements. This talk exposes this deceptive practice, and presents a solution — a principled and reproducible approach, termed targeted learning, for generating actionable and truthful information from complex, real-world data. This approach unifies causal inference, machine learning and deep statistical theory to answer causal questions with statistical confidence.

Find out more about our events on our website.

About the speaker

Mark van der Laan

Mark van der Laan, Ph.D., is a Professor of Biostatistics and Statistics at UC Berkeley. His research interests include statistical methods in genomics (i.e., computational biology), survival analysis, censored data, targeted maximum likelihood estimation in semiparametric models, causal inference, data adaptive loss-based super learning, and multiple testing. Further details on Mark’s research interests are available here.

Share with friends

Date and Time

Location

London School of Hygiene & Tropical Medicine

Keppel Street

Bloomsbury

London

WC1E 7HT

United Kingdom

View Map

Save This Event

Event Saved