Title: The new frontier in machine learning
Abstract: In this talk, I aim to illuminate the underemphasized yet critical dimension in machine learning: time. I contend that time harbors the potential to revolutionize machine learning methodologies and their applications in numerous domains from healthcare to engineering to finance. This presentation underscores the opportunities and challenges that emerge from integrating temporal dynamics into machine learning models, enriching prediction accuracy, generative modeling, inference robustness, causality, and conceptual understanding.
Bio: 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. In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM). Mihaela was elected IEEE Fellow in 2009. She 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. She is the recipient of 35 US patents and has made 45 contributions to international standards for which she received 3 ISO Awards. While her current research is firmly centered around machine learning for healthcare, Mihaela’s previous work is exceptionally diverse and impactful, spanning a wide range of fields including multimedia compression, processing, and transmission; multi-user wireless networking; applications of game-theoretic ideas in engineering contexts; and multi-agent learning in engineering systems.