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Invited talk at conference on interpretability, safety, and security in AI

Mihaela van der Schaar
December 14, 2021
1 min read

This presentation, entitled “Machine learning in healthcare: From interpretability to a new human-machine partnership,” was given by Mihaela van der Schaar on December 14, 2021, as part of the Interpretability, safety, and security in AI conference hosted by the Alan Turing Institute organised under the auspices of the Isaac Newton Institute’s Mathematics of Deep Learning Programme.

If you’d like to learn more about our lab’s research in the area of interpretability, you can find a full overview here.

Also, consider watching our Inspiration Exchange engagement series and registering to join upcoming sessions.

Other useful links:
– Our lab’s publications
– Mihaela van der Schaar on Twitter and LinkedIn

Mihaela van der Schaar

Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Fellow at The Alan Turing Institute in London.

Mihaela has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award.

In 2019, she was identified by National Endowment for Science, Technology and the Arts as the most-cited female AI researcher in the UK. She was also elected as a 2019 “Star in Computer Networking and Communications” by N²Women. Her research expertise span signal and image processing, communication networks, network science, multimedia, game theory, distributed systems, machine learning and AI.

Mihaela’s research focus is on machine learning, AI and operations research for healthcare and medicine.

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