van der Schaar Lab

ICML 2021: IMLH keynote on quantitative epistemology

This keynote talk, entitled “Quantitative epistemology – conceiving a new human-machine partnership,” was given on July 23, 2021 as part of the ICML 2021 Interpretable Machine Learning in Healthcare (IMLH) Workshop.

Quantitative epistemology is the van der Schaar Lab’s transformational new research area that aims to use AI and machine learning to understand and empower human learning and decision-making.

If you’d like to learn more about quantitative epistemology, 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, 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.