AI Seminar: Developing and deploying time series models in healthcare
Join us for a talk by Anna Goldenberg, professor in the departments of Computer Science and the Laboratory Medicine and Pathobiology at the University of Toronto. Everybody is welcome to attend.
Title
Developing and deploying time series models in healthcare
Abstract
There is growing support and excitement around AI integration into clinical practice. And yet, enabling AI in healthcare broadly is replete with many obstacles including fundamentally unresolved machine learning issues. In this talk I will cover several of our contributions to time series modeling including explainability, representation learning and generative modeling that we have worked on to date. I will also discuss some of the broader computer science contributions we had to make in order to get us closer to deployment.
Bio
Anna Goldenberg is professor in the departments of Computer Science and the Laboratory Medicine and Pathobiology at the University of Toronto. She is a Varma Family Chair in Biomedical Informatics and Artificial Intelligence at SickKids Research Institute as well as a CIFAR AI chair at the Vector Institute. Dr Goldenberg trained in machine learning at Carnegie Mellon University, with a postdoctoral focus in computational biology and medicine. The current focus of her lab is on developing and deploying machine learning models to healthcare. Dr Goldenberg’s lab is strongly committed to creating responsible AI to benefit patients across a variety of conditions.
This seminar is a part of the AI Seminar Series organised by SCIENCE AI Centre. The series highlights advances and challenges in research within Machine Learning, Data Science, and AI. Like the AI Centre itself, the seminar series has a broad scope, covering both new methodological contributions, ground-breaking applications, and impacts on society.