Marvin Alberts

Bio

Marvin is a PhD student jointly at IBM Research and the University of Zürich. His research focusses on multimodal language models applied to analytical chemistry. Before joining IBM he completed a Masters in Chemistry at Imperial College London.

Publications

Transformer Model for Structure Elucidation from Tandem Mass Spectroscopy data
- - Laura Mismetti
  - Marvin Alberts
  - et al.
- 2025
- ACS Fall 2025
Spectra to Molecule: A Multimodal Multitasking Transformer Model for Automated Structure Elucidation
- - Marvin Alberts
  - Teodoro Laino
- 2025
- ACS Fall 2025
From Spectra to Structure: AI-Powered 31P-NMR Interpretation
- - Marvin Alberts
  - Nina Hartrampf
  - et al.
- 2025
- ACS Fall 2025
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
- - Marvin Alberts
  - Oliver Schilter
  - et al.
- 2024
- NeurIPS 2024
Unified Lookup Tables: Privacy-Preserving Foundation Models
- - Nikita Janakarajan
  - Irina Espejo Morales
  - et al.
- 2024
- NeurIPS 2024
Interleaving Text and Number Embeddings to Solve Mathemathics Problems
- - Marvin Alberts
  - Gianmarco Gabrieli
  - et al.
- 2024
- NeurIPS 2024
A Multimodal Transformer Model for comprehensive Structure Elucidation
- - Marvin Alberts
  - Oliver Schilter
  - et al.
- 2024
- ACS Fall 2024
Multimodal Transformer models for Structure Elucidation from Spectra
- - Marvin Alberts
  - Alain Vaucher
- 2024
- ACS Spring 2024
From Spectra to Structure: Automated structure elucidation for organic chemistry
- - Marvin Alberts
  - Teodoro Laino
  - et al.
- 2024
- DMCCB Basel Symposium 2024
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- NeurIPS 2023

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.

Top collaborators

Teodoro Laino

Distinguished RSM, Manager

Matteo Manica

Senior Research Scientist

Andrea Giovannini

Senior Research Engineer, Manager

Federico Zipoli

Research Scientist