van der Schaar Lab

Inspiration Exchange (December 3, 2020)

Recording of the van der Schaar Lab’s fourth Inspiration Exchange engagement session, which took place virtually on December 3, 2020, and was attended by over 100 members of the AI and machine learning community.

The session covered a range of the lab’s most recent and exciting research projects in machine learning for healthcare. A total of 9 short presentations were given by the van der Schaar Lab’s researchers, followed by a Q&A session.

Introduction – 0:00
Welcome from Mihaela – 1:57
Lab presentation 1 [Symbolic pursuit // Jonathan Crabbé] – 4:54
Lab presentation 2 [Compartmental Gaussian processes // Zhaozhi Qian] – 9:30
Lab presentation 3 [OrganITE // Jeroen Berrevoets] – 12:38
Lab presentation 4 [VIME // Jinsung Yoon] – 15:59
Lab presentation 5 [CASTLE // Trent Kyono] – 19:54
Lab presentation 6 [SCIGAN // Ioana Bica] – 23:15
Lab presentation 7 [Gradient regularized v-learning // Yao Zhang] – 26:49
Lab presentation 8 [Robust recursive partitioning // Hyun-Suk Lee] – 31:02
Lab presentation 9 [Energy-based distribution matching // Ioana Bica] – 34:23
Q&A session – 38:04
Closing words and intro to next sessions – 1:00:07

Sign up for our upcoming sessions 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.