About Me

I am a Principal Architect working on Machine Learning for Personalised Medicine at Roche in Basel, Switzerland and at Genentech in South San Francisco, US. My 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.

Before joining Roche, I was a doctoral researcher working on Machine Learning for Healthcare at ETH Zurich where I 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, I collected 5 years of experience in using machine learning to automate business processes and engineering custom 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 Smartphone Data

Publications

Media Coverage

Supervised Projects

Awards and Honors