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Human-centred Machine Learning for Healthcare

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Human-centred machine learning in healthcare, with Dr Danielle Belgrave, Healthcare Intelligence Group, Microsoft Research

About this Event

We're in conversation with Dr Danielle Belgrave, who is a machine learning researcher in the Healthcare Intelligence group at Microsoft Research, about human-centred machine learning for healthcare.

We’ll be talking to Danielle about how she got into this space, what advice she has for womxn wanting to follow in her footsteps, what her work involves, and why she thinks human-centred ML is so important.

AGENDA

18:30 - Welcome and introduction

18:35 - 19:05 - Dawn Walter, Founder of the Anthropology + Technology Conference in conversation with Danielle Belgrave

19:05 - 19:30 - Q&A

ABOUT DANIELLE BELGRAVE

Dr Danielle Belgrave is a machine learning researcher in the Healthcare Intelligence group at Microsoft Research, in Cambridge (UK) where she leads Project Talia which explores how a human-centric approach to machine learning can meaningfully assist in the detection, diagnosis, monitoring, and treatment of mental health conditions.

Her research focuses on integrating medical domain knowledge, probabilistic graphical modelling and causal modelling frameworks to help develop personalized treatment and intervention strategies for healthcare.

She obtained a BSc in Mathematics and Statistics from London School of Economics, an MSc in Statistics from University College London and a PhD in the area of machine learning in health applications from the University of Manchester.

Prior to joining Microsoft, she was a tenured Research Fellow at Imperial College London.

Danielle's Microsoft Research profile: https://www.microsoft.com/en-us/research/people/dabelgra/

Follow Danielle on Twitter: https://twitter.com/danicmbelg

ABOUT THIS WEBINAR SERIES

This webinar is part of a series organised by the Anthropology + Technology Conference, which is taking place online on Friday 9 October 2020. 

The conference brings together leading national and international experts from the social sciences and technology. Its aim is to champion responsible AI and the value that social scientists bring to the design and development of emerging tech. The three streams for 2020 are smart cities, fintech, and health tech.

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