Ramon Viñas Torné

Joined

December 2020

Names

Ramon Viñas Torné (Preferred)

Ramón Viñas Torné

Ramón Viñas

Ramon Viñas

Emails

****@cam.ac.uk (Confirmed)

****@gmail.com (Confirmed)

****@epfl.ch (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Postdoc

Computer Science, EPFL - EPF Lausanne (epfl.ch)

2024 – 2025

PhD student

University of Cambridge (cam.ac.uk)

2019 – 2023

MS student

University College London (ucl.ac.uk)

2017 – 2018

Undergrad student

Universitat de Girona (udg.edu)

2013 – 2017

Advisors, Relations & Conflicts

Postdoc Advisor

Maria Brbic

2024 – 2025

PhD Advisor

Pietro Liò

2019 – 2023

Expertise

causality

2020 – Present

bioinformatics

2017 – Present

unsupervised learning

2017 – Present

generative models

2017 – Present

healthcare

2017 – Present

computational biology

2017 – Present

deep learning

2017 – Present

Publications

Generative modeling reveals the connection between cellular morphology and gene expression
Shuo Wen, Ramon Viñas Torné, Johannes Bues, Camille Lambert, Nadia Grenningloh, Timothee Ferrari, Elisa Bugani, Joern Pezoldt, Jillian Love, Wouter Karthaus, Bart Deplancke, Maria Brbic
- Gen² 2026 Poster
- Readers: Everyone
BacBench: Evaluating Genomic Language Models for Bacteria
Maciej Wiatrak, Aaron Weimann, Ramon Viñas Torné, Maria Ntemourtsidou, David Abelson, Adam Dinan, Maria Brbic, R. Andres Floto
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K. Joshi, Arian Rokkum Jamasb, Ramon Viñas Torné, Charles Harris, Simon V Mathis, Alex Morehead, Rishabh Anand, Pietro Lio
- ICLR 2025 Spotlight
- Readers: Everyone
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K. Joshi, Arian Rokkum Jamasb, Ramon Viñas Torné, Charles Harris, Simon V Mathis, Alex Morehead, Rishabh Anand, Pietro Lio
- Submitted to NeurIPS 2024
- Readers: Everyone
Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li, Ramon Viñas Torné, Pietro Lio
- 09 Oct 2022 (modified: 05 May 2023)
- LMRL 2022 Paper
- Readers: Everyone
Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
Han-Bo Li, Ramon Viñas Torné, Pietro Lio
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- AI4Science Poster
- Readers: Everyone
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
Arian Rokkum Jamasb, Ramon Viñas Torné, Eric J Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lio, Tom Leon Blundell
- Published: 15 Jun 2022, Last Modified: 05 May 2023
- ICML-AI4Science Poster
- Readers: Everyone
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
Arian Rokkum Jamasb, Ramon Viñas Torné, Eric J Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lio, Tom Leon Blundell
- Published: 31 Oct 2022, Last Modified: 12 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Attentional meta-learners for few-shot polythetic classification
Ben Day, Ramon Viñas Torné, Nikola Simidjievski, Pietro Lio
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Kolmogorov Regularization for Link Prediction
Paris D. L. Flood, Ramón Viñas Torné, Pietro Liò
- 2020 (modified: 05 Nov 2022)
- CoRR 2020
- Readers: Everyone

View all 12 publications

Co-Authors

View all 39 co-authors