Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi-Sensor System with Foundation Models
- Gianmarco Gabrieli
- Matteo Manica
- et al.
- 2024
- Advanced Science
Patrick Ruch
Title
Senior Research Scientist, AI for Scientific Discovery
Bio
Patrick Ruch is Senior Research Scientist at IBM Research Europe - Zurich and member of the team developing AI for Scientific Discovery. Dr. Ruch's main research interest lies in exploring and demonstrating concepts for the data-driven and AI-enabled lab of the future, including AI-assisted chemical sensing and foundation models for multi-modal data capture. Dr. Ruch holds a degree in Materials Science from the Swiss Federal Institute of Technology (ETH) Zurich and a PhD in electrochemical energy storage and conversion for his work performed the Paul Scherrer Institut. At IBM, he has led research projects on energy-efficient computing systems and sustainable energy technologies, and served as Technical Assistant to the Vice President of IBM Research Europe & Africa and global research strategies in Accelerated Discovery and Security.
Publications
Multimodal foundation models for more reproducible scientific experimentation and data capture
- Patrick Ruch
- Gianmarco Gabrieli
- et al.
- 2024
- Future Labs Live 2024
Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation
- Amol Thakkar
- Andrea Giovannini
- et al.
- 2023
- NeurIPS 2023
Accelerated estimation of chemical and sensory liquid attributes using an AI-assisted electrochemical electronic tongue
- Gianmarco Gabrieli
- Patrick Ruch
- 2023
- ECS Meeting 2023
HyperTaste Lab – A notebook with machine learning pipeline for chemical sensor arrays
- Gianmarco Gabrieli
- Michal Muszynski
- et al.
- 2023
- Eurosensors 2023
Creating labs that learn through automated data management
- Amol Thakkar
- Andrea Giovannini
- et al.
- 2023
- ACS Fall 2023
Seeing the unseen: leveraging vision models to extract digital fingerprints of complex liquids
- Gianmarco Gabrieli
- Matteo Manica
- et al.
- 2023
- ACS Fall 2023
A new era of collaborative experimentation enabled by multi-cloud and AI foundation models
- Patrick Ruch
- Alain Vaucher
- et al.
- 2023
- Future Labs Live 2023
Accelerated estimation of coffee sensory profiles using an AI-assisted electronic tongue
- Gianmarco Gabrieli
- Michal Muszynski
- et al.
- 2022
- IFSET
Feature importance methods unveiling the cross-sensitive response of an integrated sensor array to quantify major cations in drinking water
- Gianmarco Gabrieli
- Michal Muszynski
- et al.
- 2022
- SENSORS 2022
Patents
- CN
- ZL201980028644.2
- US
- 12155104
- US
- 12117802
- JP
- 7549421
- US
- 12070307
- US
- 12055921
- CN
- ZL202080014934.4
- DE
- 11 2019 002 492
- JP
- 7362197
- US
- 11660026
Projects
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Blog posts
Top collaborators
MM
Matteo Manica
Senior Research Scientist
TL
Teodoro Laino
Distinguished RSM, Manager
AG
Andrea Giovannini
Senior Research Engineer, Manager
FZ
Federico Zipoli
Research Scientist