Structured missing data: Grand challenges in learning from multi-modal data at scale
Tuesday 14 Mar 2023
Time: 13:30 - 14:30
Sarah McGough is an epidemiologist and data scientist at Roche specialised in machine learning, causal inference and advanced analytics. Her research leverages large volumes of patient-level data to deliver impactful clinical, molecule and disease insights and enable personalised healthcare.
Prior to joining Roche/Genentech, she obtained her PhD and MSc in epidemiology from Harvard University where she focused on outbreak forecasting and real-time public health surveillance using a range of machine learning, statistical, and Bayesian techniques. During this time she was also a graduate researcher in the Computational Epidemiology Lab and Machine Intelligence Lab at Boston Children’s Hospital.