Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi-Sensor System with Foundation Models
- 2024
- Advanced Science
Joris Cadow-Gossweiler
Pronouns
He/Him/His
Title
Research Engineer
Bio
Joris is a Research Engineer in the IBM Research Zürich Lab (Rüschlikon, Switzerland) where he works in Accelerated Discovery on software development, DevOps, MLOps and cloud deployments.
He joined initially for his master thesis in Computational Biology & Bioinformatics working on multiple kernel learning. As a Data Scientist he contributed to different works focused on machine learning for precision medicine and chemistry resulting in public web-services and open source code repositories.
Publications
HyperTaste Lab – A notebook with machine learning pipeline for chemical sensor arrays
- Gianmarco Gabrieli
- Michal Muszynski
- et al.
- 2023
- Eurosensors 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
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- MRS Fall Meeting 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning
- Jannis Born
- Matteo Manica
- et al.
- 2019
- NeurIPS 2019
Patents
- US
- 12124958
Projects
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.
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Top collaborators
MM
Matteo Manica
Senior Research Scientist
JB
Jannis Born
Research Scientist in AI for Scientific Discovery
FZ
Federico Zipoli
Research Scientist
DC
Dimitrios Christofidellis
Research Engineer