Patrick Schwab Director of Machine Learning and Artificial Intelligence GSK AI/ML
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Patrick Schwab's work aims to advance personalised medicine by utilising machine learning methods and large-scale health data, such as continuous measurements from smart devices and electronic health records, to better understand and treat complex diseases.
Prior to joining GSK, Patrick Schwab was a Principal Architect working on Machine Learning for Personalised Medicine at Roche in Basel, Switzerland and at Genentech in South San Francisco, USA. Before joining Roche, he was a doctoral researcher working on Machine Learning for Healthcare at ETH Zurich where he worked, in close collaboration with students, medical researchers, clinical experts and industrial professionals from University Hospital Zurich, the Balgrist clinic and Hocoma AG, on applying machine learning methods in the medical domain. Prior to that, Patrick Schwab worked for 5 years in industry where he used machine learning to automate business processes and engineering custom software solutions.
Patrick Schwab holds a PhD in Machine Learning (2019) from ETH Zurich, Switzerland, an MSc in Computer Science (2015) with distinction from the University of Vienna, Austria and a BSc in Computer Science (2013) with honors from Technikum Vienna, Austria.