Her research involves topics in signal and image processing, communication networks, network science, multimedia, game theory, distributed systems, machine learning, and AI.[3][4] van der Schaar focuses on medical applications of computer engineering, including AI-enabled personalized medicine.[5]
Van der Schaar received a joint Bachelor's/Master's (1996) degree and a Doctoral (2001) degree from the Eindhoven University of Technology in the Netherlands. Upon starting her studies she was the only woman in a class of over 200.[5] She completed her PhD while simultaneously working as a researcher at Philips Research Laboratories.
Since 2005, van der Schaar has been on the faculty at the University of California, Los Angeles. In 2011, she founded UCLA's Center for Engineering Economics, Learning, and Networks, and she directed the group until its dissolution in 2016.[7]
van der Schaar joined the faculty at the University of Cambridge in 2018. In November 2020, van der Schaar was named the director of the new Cambridge Centre for AI in Medicine, a research collaboration between the University of Cambridge, GlaxoSmithKline and AstraZeneca to study applications of machine learning to the medical profession.[9][10]
In response to the COVID-19 pandemic in April 2020, van der Schaar's research group was part of a collaboration with the UK National Health Service which used machine learning to predict shortages of ICU beds and ventilators in English hospitals.[11]
As of 2020, van der Schaar has published over 250 academic journal articles and submitted over 275 conference papers, and her work has resulted in 35 US patents and contributed to over 45 international standards.[7]
As of 2022, van der Schaar's work has been cited over 23,000 times.[12]
She has also received a National Science Foundation CAREER Award (2004),[14] the IEEE Darlington Award (2011),[15] and the Oon Prize on Preventative Medicine from the University of Cambridge (2018).[16]
In 2019, a Nesta report determined that van der Schaar was the most-cited female AI researcher in the UK.[3] She was elected a Fellow of the Royal Society in 2024.[17]
^Radha, H.M.; van der Schaar, M. (March 2001). "The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP". IEEE Transactions on Multimedia. 3 (1): 53–68. doi:10.1109/6046.909594.