Curriculum Vitae

Work experience

• Feb 2024 - present: Assistant Professor Health Data Science, University of Lucerne, Switzerland
  • Member of the Faculty of Health Sciences and Medicine, University of Lucerne
• Feb 2021 - present: Independent Research Group Leader, University of Tübingen, Germany
  • Full member of the Cluster of Excellence Machine Learning: New Perspectives for Science
  • Full member of the Institute for Bioinformatics and Medical Informatics (IBMI)
  • Faculty of the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

• Jan 2020 - Jan 2021: Senior Research and Development Engineer, PTC Vuforia, Zürich

• Jan 2017 - Oct 2019: Postdoctoral fellow (ETH Fellows) in machine learning for medical image analysis, ETH Zürich, Switzerland

• Aug 2015 - Dec 2016: Postdoctoral researcher in machine learning for medical image analysis, Imperial College London, UK

Education

• PhD in Biomedical Engineering, King’s College London, UK (2016)
  • Thesis title: “Manifold alignment for imaging and modelling respiratory motion”
  • Thesis advisors: Dr. Andrew Peter King, Prof. Daniel Rueckert
• M.Sc. Biomedical Engineering, ETH Zürich, Switzerland (2012)
  • Master thesis at Harvard Medical School on Brain Tractography.
• B.Sc. Electrical Engineering & Information Technology, ETH Zürich, Switzerland (2009)

Research overview

• Research Interests: Machine learning (ML) for medical image analysis, computer-aided detection and diagnosis, medical image acquisition, ML methods development, clinical integration
• Main research themes
  • Strategies for learning from limited medical data
  • Interpretable ML
  • Human-in-the-loop systems
  • Robust ML and uncertainty quantification
  • ML-based MR image reconstruction
  • Statistical modelling of big medical (imaging) data

Organization of scientific meetings

• Programme Committee for Medical Imaging with Deep Learning (MIDL) conference 2023
• Programme Chair for Medical Imaging with Deep Learning (MIDL) conference 2022
• Co-organizer of the MICCAI workshop on Uncertainty for Safe Utilization of Reporting and Enhancing in medical image applications (UNSURE) 2019–2023
• Co-organizer of the MICCAI workshop on AI for Treatment Response Assessment and Prediction (AI4Treat) 2023

Other services and review activities

• Area chairing / meta-reviewing:
  • International Conference on Medical Image Computing and Computer Assisted
  • Interventions (MICCAI) (2019, 2021)
  • International Conference on Medical Imaging with Deep Learning (MIDL) (2019)
  • Programme Committee for Medical Imaging meets NeurIPS workshop (MedNeurIPS) (2018, 2021)
  • Programme Committee for the MICCAI Workshop on Smart Ultrasound Imaging (SUSI) (2019)
• Journal Associate Editing
  • UNSURE 2020 Special Issue – Journal of Machine Learning for Biomedical Imaging (MELBA)
  • MIDL 2022 Special Issue – Elsevier Medical Image Analysis
• Review Services for Journals and Conferences
  • IEEE Transactions in Medical Image Analysis
  • IEEE Transactions in Biomedical Engineering
  • IEEE Journal of Biomedical and Health Informatics
  • Elsevier Medical Image Analysis (Outstanding Reviewer 2018)
  • Springer International Journal of Computer Assisted Radiology and Surgery
  • The Journal of Machine Learning for Biomedical Imaging (MELBA)
  • Int. Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  • Medical Imaging with Deep Learning (MIDL) conference (Exceptional Reviewer Award 2021)
  • IEEE International Symposium on Biomedical Imaging (ISBI), Int. Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)