van der Schaar Lab

Inspiration Exchange (September 2, 2020)

Recording of the van der Schaar Lab’s first Inspiration Exchange engagement session, which took place virtually on September 2, 2020, and was attended by over 100 members of the AI and machine learning community. The topic of the session was automated machine learning (AutoML).

Introduction – 0:00
Mihaela’s presentation – 2:12
Question 1 [types of AutoML] – 30:00
Question 2 [ecosystem for AutoML for healthcare] – 32:50
Question 3 [interpretability and explainability] – 35:10
Question 4 [AutoML in clinical trial design] – 37:53
Question 5 [incorporating domain knowledge] – 40:20
Question 6 [AutoML for personalized healthcare] – 44:00
Question 7 [model selection methods including RL] – 45:13
Question 8 [meta-learning and AutoML method selection] – 47:32
Question 9 [multi-modal data; dealing with missing data] – 50:26
Question 10 [sample size requirements] – 52:49
Question 11 [causal structures; human decision-making] – 54:50
Closing words from Mihaela – 58:21

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.