Daniel Abler

Daniel Abler is a computational researcher with a background in Physics and broad experience in biomedical engineering, image analysis, and data science approaches for precision medicine. His research seeks to improve personalized treatments by investigating computational approaches for optimally integrating clinical and imaging information into medical decision processes.

After studies at the University of Erlangen-Nuremberg (DE) and Imperial College London (UK), Daniel was awarded a Ph.D. degree from the University of Oxford (UK) for research at CERN linked to charged particle therapy. As a Postdoctoral Fellow at the University of Bern, he studied the application of image-based modeling and simulation techniques to a range of clinical questions. Building on this research, he was granted a Marie Skłodowska-Curie Fellowship to investigate computational modeling approaches for characterizing brain tumor growth at the Mathematical Oncology group of the City of Hope Comprehensive Cancer Center (CA, USA). Later, he became a Fellow of the MIT Catalyst Europe program and joined the HES-SO and CHUV to continue his research into image-based digital (bio)markers for oncology.

Daniel is currently a senior Research Scientist at the Precision Oncology Center at CHUV.