van der Schaar Lab

Inspiration Exchange (October 5, 2020)

Recording of the van der Schaar Lab’s second Inspiration Exchange engagement session, which took place virtually on October 5, 2020, and was attended by roughly 90 AI and machine learning students.

This session featured presentations from 4 of the van der Schaar Lab’s researchers regarding the Lab’s key AutoML projects. In addition, three session participants presented their own proposals for building on these projects by improving the AutoML methods or applying them in new contexts or applications.

Introduction – 0:00
Mihaela’s welcome video – 3:22
Lab presentation 1 [AutoPrognosis // Ahmed Alaa] – 4:35
Lab presentation 2a [Clairvoyance // Dan Jarrett] – 16:25
Lab presentation 2b [Clairvoyance // Ioana Bica] – 19:39
Lab presentation 3 [SMS-DKL // Yao Zhang] – 25:43
Q&A session – 31:43
Participant presentation 1 [Peter Wijeratne] – 48:36
Participant presentation 2 [Diyuan Lu] – 56:37
Participant presentation 3 [Renos Lyssiotis] – 1:04:55
Closing words and intro to next sessions – 1:10:43

Sign up for our upcoming sessions here.

You can find a piece of long-form content on AutoML here.
The lab’s publications on AutoML are here.

Nick Maxfield

Nick Maxfield

Nick oversees the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.

Nick studied Japanese (BA Hons.) at the University of Oxford, graduating in 2012. Nick previously worked in HQ communications roles at Toyota (2013-2016) and Nissan (2016-2020).

Given his humanities/languages background and experience in communications, Nick is well-positioned to highlight and explain the real-world impact of research that can often be quite esoteric. Thankfully, he is comfortable asking almost endless questions in order to understand a topic.

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.