van der Schaar Lab

Inspiration Exchange: synthetic data concepts and approaches

Recording of the van der Schaar Lab’s fifth Inspiration Exchange engagement session, which took place virtually on January 26, 2021, and was attended by almost 100 members of the AI and machine learning community.

The session focused on synthetic data generation as one of the lab’s key research areas. Following an introduction from Mihaela van der Schaar, 3 short presentations were given by the van der Schaar Lab’s researchers, followed by a Q&A session.

Introduction – 0:00
Introduction by Mihaela – 2:53
Lab presentation 1 [PATE-GAN // James Jordon] – 20:34
Lab presentation 2 [DP-BAG // James Jordon] – 25:03
Lab presentation 3 [TimeGAN // Dan Jarrett] – 29:42
Lab presentation 4 [Fourier Flows // Ahmed Alaa] – 34:59
Q&A session – 40:57
Closing words and intro to next sessions – 1:00:05

Sign up for our upcoming sessions here.

Nick Maxfield

From 2020 to 2022, Nick oversaw the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.

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.