Patrick Ruch

Overview

Title

Senior Research Scientist, AI for Scientific Discovery

Location

IBM Research Europe - Zurich Zurich, Switzerland

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

Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi-Sensor System with Foundation Models
- - Gianmarco Gabrieli
  - Matteo Manica
  - et al.
- 2024
- Advanced Science
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

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Patents

- 20 Nov 2017
- US
- 9821418
Adsorption Heat Exchanger Devices
- 11 Apr 2017
- CN
- ZL201380050281.5
Scalable Chemical Reactor And Method Of Operation Thereof
- 26 Jan 2017
- JP
- 6080958
Scalable Chemical Reactor And Method Of Operation Thereof
- 14 Jun 2016
- GB
- 2522802
Scalable Chemical Reactor And Method Of Operation Thereof
- 27 Jan 2016
- CN
- ZL201180062202.3
Solid Sorption Refrigeration
- 20 Jan 2016
- CN
- ZL201180045439.0
Electrochemically Powered Integrated Circuit Package
- 01 Oct 2015
- JP
- 5815034
Electrochemically Powered Integrated Circuit Package
- 19 Aug 2015
- DE
- 112011103811
Solid Sorption Refrigeration
- 22 Jul 2015
- GB
- 2499938
Solid Sortion Refrigeration
- 11 Feb 2015
- DE
- 112011102577.7
Electrochemically Powered Integrated Circuit Package

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.

View more projects

Blog posts

Hypertaste: An AI-assisted e-tongue for fast and portable fingerprinting of complex liquids
Research
Patrick Ruch
05 Jul 2019
- AI
- Machine Learning

Top collaborators