About Me

I am Senior Director of Machine Learning and Artificial Intelligence and Head of the Biomedical AI group at GSK.ai. My work aims to advance personalised medicine by utilising machine learning, computational systems biology methods and large-scale health data, such as genetics, multi-omics, cell-based assays, and continuous measurements from smart devices and electronic health records, to better understand and treat complex diseases.

Prior to joining GSK, I was Principal Architect working on Machine Learning for Personalised Medicine at Roche in Basel, Switzerland and at Genentech in South San Francisco, US. Before joining Roche, I was a doctoral researcher working on Machine Learning for Healthcare at ETH Zurich. Prior to ETH Zurich, I spent 5 years building custom data-driven software solutions in industry. I hold a PhD in Machine Learning (2019) from ETH Zurich, Switzerland, a 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.

Research Areas
Machine Learning, Big Data, Deep Learning, Causality, Health Care
Picture of Patrick Schwab.

News

Current Research

Machine Learning in Health Care
Causality and Machine Learning
Learning from High-dimensional Data

Publications

Media Coverage

Supervised Projects

Awards and Honors