Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi-Sensor System with Foundation Models
- 2024
- Advanced Science
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
- 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
- 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
- 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
- US
- 11161114
- CN
- ZL201780022655.0
- US
- 11094840
- JP
- 6930703
- GB
- 2582499
- US
- 11085894
- DE
- 11 2013 004 182
- US
- 10980448
- US
- 10972048
- US
- 10972047
Projects
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Lab that Learns
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Blog posts
Top collaborators
GG
Gianmarco Gabrieli
Pre-Doctoral Researcher
MM
Matteo Manica
Senior Research Scientist
TL
Teodoro Laino
Distinguished RSM, Manager
AG
Andrea Giovannini
Senior Research Engineer, Manager