van der Schaar Lab

Turing Lecture: Medicine 2.0 – Using Machine Learning to Transform Medical Practice and Discovery

In this May 4, 2017, talk, Mihaela van der Schaar presents her view of the transformation of medicine through the use of machine learning, and some of her own contributions. This transformation is already being felt in every aspect of medicine: from clinical support for personalized diagnosis and prognosis to the estimation of individualized treatment effects without the need for clinical trials to medical discovery to the entire path of patient care. The heart of this transformation is the intelligent use of existing data.

Because of the unique and complex characteristics of medical data and medical questions, many familiar methods are inadequate. Mihaela’s work develops novel machine learning methods and applies them to a wide variety of medical settings.

This work achieves enormous improvements over current clinical practice and over existing machine learning methods. This talk will explore some of Mihaela’s work and vision of how data science can transform medical discovery and care.

Mihaela van der Schaar

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, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA.

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.