Abstract: In this talk I will introduce Learning Engines, which provide an integrated ecosystem for understanding, planing and controlling complex dynamical systems and networks ranging from healthcare systems to smart cities. Learning Engines use cutting-edge machine learning, AI and operations research theory, methods, algorithms and systems to extract timely insights from multi-modal data acquired from the operation of these systems over time and subsequently provide actionable intelligence to a variety of stakeholders involved in their operation and control. Key technologies which we have developed in order to fuel the Learning Engines, and which will be highlighted in this talk, are new automated machine learning, causal inference and reinforcement learning methods.
Bio: Professor van der Schaar is John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Turing Faculty Fellow at The Alan Turing Institute in London, where she leads the effort on data science and machine learning for personalized medicine. Prior to this, she was a Chancellor's Professor at UCLA and MAN Professor of Quantitative Finance at University of Oxford. She is an IEEE Fellow (2009). She has received the Oon Prize on Preventative Medicine from the University of Cambridge (2018). She has also been the recipient of an NSF Career Award, 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 holds 33 granted USA patents. Her current research focus is on data science, artificial intelligence and machine learning for medicine and education.