Engineering proteins
and viral vectors.

Combating antimicrobial resistance and advancing gene therapy through computational design and experimental validation.

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2018–Now

Antimicrobial Peptides

Multidomain recombinant proteins that combine host defense peptides to overcome antibiotic resistance.

Protein EngineeringAMR
2019–2022

Protein Engineering

Functional inclusion bodies and leucine-zipper scaffolds as bioactive nanomaterials.

Inclusion BodiesNanomaterials
2022–Now

ML in Biology

Applying deep learning to antimicrobial peptide discovery and capsid optimization.

Machine LearningProtein Design
2021–Now

AAV Capsid Engineering

Directed evolution of AAV capsids for improved tissue targeting and CAR-T cell transduction.

AAVDirected Evolution
2018–2023

Functional Inclusion Bodies

Engineering protein aggregates as bioactive nanoparticles for pharmaceutical applications.

BiomaterialsNanoparticles
2023–Now

Gene Therapy Vectors

Preclinical AAV vector evaluation using ex situ liver perfusion and humanized mouse models.

Gene TherapyRare Disease

Exploring spaces no bench can cover.

My background spans from a Biotechnology degree in Barcelona to a Masters in Biomedical Engineering at UC Irvine. During my PhD, I spent four years on multidomain antimicrobial protein design, leading to two patents.

At the Children's Medical Research Institute (CMRI) in Sydney, I built and led a computational peptide discovery platform. I combined large-scale sequence analysis, protein language models, and GPU-accelerated pipelines to design and experimentally validate over 100 antimicrobial peptide candidates.

I also contributed heavily to AAV capsid engineering and directed evolution for gene therapies. I don't use computation as a replacement for the bench, but to explore spaces and sequences that no bench can cover alone.

Core Competencies

  • Protein Language Models
  • AAV Capsid Engineering
  • Python & Data Science
  • Antimicrobial Discovery
  • GPU-Accelerated Pipelines
  • Molecular Biology
2021 – 2026

Research Officer

Children's Medical Research Institute, Sydney

Built and led a computational peptide discovery platform combining large-scale sequence analysis, protein language models, and GPU pipelines. Designed and experimentally validated over 100 antimicrobial peptide candidates.

2016 – 2020

Pre-doctoral Researcher

UAB & IRTA, Barcelona

Started a new antimicrobial peptide research line from scratch; designed broad-spectrum recombinant proteins, filed 2 patents and published 8 papers.

2015 – 2016

Graduate Researcher

University of California, Irvine

Tracked estrogen receptor dynamics in living cells using single-molecule fluorescence microscopy and quantitative image analysis.

Exploring spaces no bench can cover.

Bridging computation and biology. 20+ publications, 300+ citations, and 2 patents in antimicrobial drug discovery and protein engineering.