Activities at FHNW
- Lecturer for Data Science
- Deputy Head of the FHNW Institute for Data Science
Teaching
Bachelor of Science in Data Science and Computer Science
- Deep Learning, Maths
- Supervision of Bachelor Thesis Projects
Master of Science in Engineering MSE, Profile Data Science
- Deep Learning
- Supervision of Master Thesis Projects
Research
- AI-based applications mainly in the computer vision domain. Current focus area: Use cases in the environmental and energy domain
- Astro-Informatics: software and systems engineering for large astronomy missions and ML applications in astrophysics and cosmology
Profile
Since 2013
Professor at FHNW
2007-2012
Scientific Collaborator at FHNW
2006-2007
Risk Consultant at Towers Perrin / Tillinghast
2002-2006
Risk Modeler / Risk Consultant at AonResolution AG
1997-2001
Risk Modeler and Business Analyst at Swiss Re
1996-1997
Postdoctoral Researcher at the Institute of Polymers, ETH Zurich
1993-1996
Graduate studies in theoretical polymer science at ETH Zurich. PHD in physics (Dr. sc. Nat. ETH) – thesis: “Efficient Integration Techniques for Simulation of Polymer Dynamics”
1986-1992
Studies in Physics and Mathematics at the ETH Zurich, focus on theoretical/mathematical physics.
Applied Science Projects
2025: Digitaler KI-Assistent für die Diagnostik und Behandlung distaler Radiusfrakturen (CoI, with AINEAS GmbH; funded by Aargauer Forschungsfond)
2024: Datengrundlage für PV-Potenzialabschätzung (PI, with enshift AG; funded by Innocheck)
2024/25: Cement Composition Measurement by Long Wave Infrared (CoI, with Lumatics Technologies AG, Institute for Sensors and Electronics; funded by Innosuisse)
2024/25: Prognosebasiertes Energie- und Treibhausgasmanagement für Abwasserreinigungsanlagen (CoI, with Hunziker Betatech AG, Institute for Automation; funded by Innosuisse)
2024/25: Real Time Pollen Information (PI, with Swisens AG, University of Bern, METAS; funded by Innosuisse)
2023: APolLo - Adaptation of Pollen Classifier to Local Flora (PI, with Swisens AG; Photonics Booster)
2023: Carbon Farming (PI, with PVM Consulting; funded by Innocheck)
2023/24: Biocycling: Fremdstoffdetektion in Recyclingdünger (CoI, with Cortexia SA, Institute of Bioenergy and Resource Efficiency, Institute for Sensors and Electronics, EPFL; funded by Innosuisse)
2023/24: AI for Better Caries Diagnosis by Dentists (with Nostic Solutions AG; funded by Innosuisse)
2022-24: Deep Signature - Hidden and Robust Digital Signatures (funded by Innosuisse)
2021: Smart Recommender Systems for Medium Sized Enterprises (CoI, with Institute for Business Engineering; funded by Innosuisse)
2020: Robust Digital Signing with Deep Neural Networks (PI, funded by SNF – SPARK)
2016/17: Optimierte Produktionsauslastung für Brugg Cables (PI, with Brugg Cables; funded by CTI).
2010-2012: Risikomanagement Plattform PillarOne - sicherer bauen, schneller rechnen und leichter auszuwerten (PI, with Intuitive Collaboration GmbH; funded by CTI)
Astroinformatics Projects
Since 2024: EUCLID Operations in Switzerland (CoI, funded by SwissPRODEX)
2012-2023: Swiss Components of the Euclid Ground-Segment (CoI, with University of Geneva, EPFL; funded by Swiss PRODEX)
Since 2021: EUCLID : high&precision cosmology in the dark sector (CoI, with EPFL, UniGE, UniZH; funded by SNF – Sinergia)
2017-2021: EUCLID : high&precision cosmology in the dark sector (CoI, with EPFL, UniGE, UniZH; funded by SNF – Sinergia)
2017-2021: “Machine Learning based Analytics for Big Data in Astronomy” (CoI, with UnivGe; funded by SNF (NRP 75))
2013-2016: EUCLID : high&precision cosmology in the dark sector (with EPFL, UniGE, UniZH; funded by SNF – Sinergia)
2015-2021: Swiss Contributions to the Data Management for the Dark Energy Survey (with NCSA; funded by US NSF).
2012-2015: Swiss Contributions to the Data Management for the Dark Energy Survey (with NCSA and ETHZ; funded by ETHZ).
2007-2012: Swiss Software Contribution to the HIFI instrument on the Herschel Space Telescope (funded by Swiss PRODEX).