Raúl Fernández Díaz

Title

Pre-doc Bioinformatics Researcher

Bio

I'm a PhD Student at UCD Conway Institute and a Pre-doc student at IBM. My project focuses on Multi-modal foundational models for protein representation learning.

Publications

MorganGen: Generative Modeling of SMILES Using Morgan Fingerprint Features
- - Lam Thanh Hoang
  - Raúl Fernández Díaz
  - et al.
- 2024
- ACS Fall 2024
Analysis of docking for binding affinity prediction
- - Raúl Fernández Díaz
  - Denis Shields
  - et al.
- 2024
- ACS Fall 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- - Raúl Fernández Díaz
  - Lam Thanh Hoang
  - et al.
- 2024
- ACS Fall 2024
AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- - Raúl Fernández Díaz
  - Rodrigo Cossio-pérez
  - et al.
- 2024
- ISMB 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- - Raúl Fernández Díaz
  - Lam Thanh Hoang
  - et al.
- 2024
- ISMB 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- - Raúl Fernández Díaz
  - Lam Thanh Hoang
  - et al.
- 2024
- MoML 2024
Models that learn the language of molecules and how to use them to predict their properties
- - Raúl Fernández Díaz
- 2024
- SECUAH 2024
AutoPeptideML: An Automated Machine Learning Method for Building Peptide Bioactivity Predictors Leveraging Protein Language Models
- - Raúl Fernández Díaz
  - Rodrigo Cossio-pérez
  - et al.
- 2023
- ICBG 2023

Top collaborators

Lam Hoang

Research Staff Member, Master Inventor

Vanessa Lopez Garcia

Senior Research Scientist and Manager, AI for Health and Social Care, Master inventor

Joao Bettencourt

Senior Research Scientist

Marco Sbodio

Senior Research Scientist