31 projects will receive in-kind data science, machine learning and AI expertise and support from the Swiss Data Science Center. The collaborations will start in the second half of 2026 and run for up to two years.
* The asterisk indicates the main project investigator (PI) for the respective project.
Collaborative Research Data Science Projects
16 projects (lasting 1-2 years) will receive in-kind data science expertise in statistical data science, machine learning, AI, computer vision, and nature language processing (NLP) to develop models, algorithms and analyses tailored to the specific research domain:
Energy & Sustainability
SIM2PROP: Bridging Simulation and Reality: Multi-Fidelity Optimization for Low-Noise Propeller Design and Manufacturing. Dr. Sebastian Lang*, Dr. Petr Kaftan, Thermal and Flow Simulation Group at Inspire AG; Prof. Dr. Markus Bambach, Dr. Mamzi Afrasiabi, Advanced Manufacturing Lab at ETH Zürich.
SPHERULITE: Closed-Loop Photonic Processing for Scalable Perovskite Films. Dr. Sandy Sanchez*, Prof. Michael Graetzel, EPFL; Prof. Jean Hennebert, HEIA-FR.
GICF: Granular Intelligence - Circular Fabrication with Construction Waste. Prof. Ena Lloret-Fritschi*, USI; Dr. Selen Ercan Jenny, Layered GmbH.
Climate & Environment
CLIMSUIT: Enhancing Agricultural Crop Suitability Modelling to Identify Future Spatial Conflicts Between Food Security and Biodiversity Conservation. Prof. Sabine Rumpf*, Prof. Ruth Delzeit, Dr. Florian Zabel, Benjamin Walter, University of Basel.
FORHYX: Towards Sub-seasonal Forecasting of Hydroclimatic Extremes. Prof. Benjamin Stocker*, Dr. Fabian Bernhard, Prof. Olivia Romppainen-Martius, Dr. Monika Feldmann, University of Bern.
GENOAS: Generating the Next Ocean Carbon Sink Estimator. Prof. Nicolas Gruber*, Dr. Luke Gregor, ETH Zurich.
AIM: AI-based Inverse Modeling of Geophysical Mass Movements. Prof. Konstantinos Karapiperis*, EPFL; Prof. Johan Gaume, ETH Zurich and WSL-SLF.
Digital Society
C-ViEW: Computer Vision in Exposed Wars. Dr. Cécile Richetta*, University of Geneva; Prof. Aaron Schein, University of Chicago; Prof. Luke Sanford, Yale University.
Health & Biomedical
ATLAS: Decoding Tissue-Level Drug Responses Through Automated Spatiotemporal Analysis of Dynamic Phenotypes. Dr. Maciej Dobrzynski*, University of Bern; Prof. Paolo Armando Gagliardi, University of Torino, Italy.
TrimTP: Predicting Therapy Response by Integrating Multi-modal Tumour Profiling for Precision Oncology. Dr. Jack Kuipers*, Prof. Niko Beerenwinkel, ETH Zurich.
CancerFM: A Pan-Cancer Foundation Model for Batch-Invariant Tumor Tissue Representation and Therapeutic Response Prediction. Prof. Dr. Valentina Boeva*, ETH Zurich.
Data Science for Large-Scale Scientific Infrastructures
PIDS4MS: Physics-Informed Data Science for Multiplexing Spectrometers. Dr. Jakob Lass*, Dr. Gabriel Mazzone, PSI.
3D-DEFORM: Deformation-tolerant Alignment for High-resolution X-ray Nanotomography. Prof. Manuel Guizar-Sicairos*, Prof. Tomas Aidukas, EPFL and PSI; Dr. Mirko Holler, Dr. Ana Diaz, PSI; Prof. Gabriel Aeppli, ETH Zurich and PSI.
MLXaudio: The Thrill is Back - Using Machine Learning and X-rays to Recover Audio from Historical Tapes. Dr. Sebastian Gliga*, Dr. Jörg Raabe, PSI.
General
ENVISION: Event-based Quantitative Vision for Sparse Dynamic Velocimetry. Dr. Ivan Lunati*, Claudio Mucignat, Empa.
NLFHEELS, Non-linear Matrix Factorisation for Hyperspectral Electron Energy Loss Spectrometry. Prof. Cécile Hébert*, EPFL.
End-user Innovation Projects
4 one-year projects will be provided with in-kind data science and engineering skills to maximize the impact of academic or research innovations in end-user contexts, benefiting public institutions, industrial, and economic stakeholders:
Energy & Sustainability
VoltVision: Conversational Access to Energy Scenarios. Dr. Adriana Marcucci*, Dr. Christian Schaffner, Dr. Jan Abrell, ETH Zurich; Dr. Yann Blumer, ZHAW.
Climate & Environment
ExClim+: Extreme Weather Attribution Dashboard: Linking Local Weather Extremes in Switzerland to Global Climate Change. Dr. Petra Sieber*, ETH Zurich.
Digital Society
AHEAD-NE: AI-Driven Optimization of Pre-Hospital Emergency Medical Services: Resource Planning and Dynamic Deployment for Enhanced Public Health Response. Ms. Geraldine Schaller-Conti*, Etat de Neuchâtel.
Health & Biomedical
SynerGraph: Identifying Effective Cancer Drug Combinations with Graph Neural Networks and Functional Profiling. Dr. Fabio Steffen*, Prof. Ana Guerreiro-Stücklin, Prof. Jean-Pierre Bourqui, University Children's Hospital Zurich; Prof. Didier Surdez, Balgrist University Hospital; Prof. Michael Krauthammer, Prof. Andreas Wicki, University Hospital Zurich.
Collaborative Infrastructure Projects
8 projects will benefit from in-kind support for proof-of-concept prototyping for 3 to 6 months, enabling them to validate and mature infrastructure concepts toward future Minimal Viable Product (MVP) proposals. 3 one-year projects will receive SDSC support to develop operational, interoperable, and reusable MVP solutions:
Health & Biomedical
Prototyping (3-6 months)
SHINe: Swiss Health Interoperability Network. Dr. med. MSc. Olga Endrich*, Dr. med. Karen Triep, Bern University Hospital; Dr. Solange Zoergiebel, Prof. Jean Louis Raisaro, Lausanne University Hospital; Dr. Christophe Gaudet-Blavignac, Dr. Julien Ehrsam, University Hospitals of Geneva.
CellxPatient: From Single Cells to Patients: Secure Integration of Spatial Transcriptomics and Clinical Data. Dr. Antonin Thiébaut*, Prof. Raphael Gottardo, Prof. Jean Louis Raisaro, Dr. Krisztian Homicsko, Lausanne University Hospital; Prof. Mitch Levesque, University Hospital Zurich.
COMPLAI: AI-based Compliance Review for Swiss Biobanks. Dr. Christine Joye*, Dr. Sabine Bavamian, Swiss Biobanking Platform.
OMNI-X: Optimizing a Multimodal Data Integration Platform for Neoplastic Intraductal Xenografts. Prof. Cathrin Brisken*, EPFL.
Minimal Viable Product Development (1 year)
Beyond KidsCan-01: Clinical and Research Infrastructure for Pediatric Precision Oncology. Linda Grob*, Babih Velazquez de Buray, Fabio Steffen, University Children's Hospital Zurich.
Climate & Environment
Prototyping (3-6 months)
COMPASS: Connecting Impact: An Interactive Global Map of OceanCare Partners. Dr. Johanna Berger*, Dr. James Kerry, OceanCare.
SpeciAI: Accelerating Biodiversity Data Digitization with Artificial Intelligence. Dr. Michael Greeff*, Prof. Dr. Consuelo De Moraes, ETH Zurich; Prof. Nadir Alvarez, Naturéum - State Museum of Natural Sciences of the Canton de Vaud.
AgriNEXT: Switzerland's Next-Generation Agroecosystem Monitoring and Modelling EO and AI Infrastructure. Dr. Helge Aasen*, Agroscope - Swiss Centre for Agricultural Research.
GWCoord: Global Image Training Data to Improve Crops and Cropping Systems. PD Dr. Andreas Hund*, ETH Zurich.
Minimal Viable Product Development (1 year)
ForestPredX: Personalized Medicine for Forests: Development of a Database and User Interface. Dr. Katalin Csillery*, WSL-SLF.
NWF4CH+: Scaling and Optimizing Neural Weather Forecasting for Switzerland. Dr. Erwan Koch*, Prof. Tom, Beucler, University of Lausanne; Dr. Isabelle Bey, Dr. Daniele Nerini, MeteoSwiss.
