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NeurIPS 2021: self-supervised learning for genomics

Mihaela van der Schaar
December 15, 2021
1 min read

This invited talk, entitled “Self-supervised learning for genomics,” was given by Mihaela van der Schaar on December 14, 2021, as part of the Self-supervised Learning Workshop running alongside NeurIPS 2021.

To learn more about our lab’s research in the area of self-supervised learning, semi-supervised learning, and multi-view learning for genomics and clinical data, visit our dedicated research pillar page.

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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