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Research Officer at Children's Medical Research Institute, Sydney

Protein engineering from AI design to preclinical validation.

Biomedical engineer working across computational protein design, wet-lab validation, and translational models in antimicrobial discovery and gene therapy.

  • Computational design
  • Wet-lab validation
  • Gene therapy & antimicrobials
Schematic · 00InteractiveNC
Amino acid residues coalescing into a folded protein.
Publications
20+
Citations
300+
Patents
2
Countries
3

01Current position

Research Officer

Children's Medical Research Institute, Sydney

We built a computational platform for antimicrobial peptide discovery — from protein language model predictions to preclinical validation in mouse models — and extended the same approach to AAV capsid engineering for gene therapy.

Method

  1. 01

    Sequence

  2. 02

    Model

  3. 03

    Bench

  4. 04

    In vivo

02Selected research

Selected research

Protein engineering from computational design to preclinical validation, spanning antimicrobial discovery and gene therapy.

  1. 012024Molecular Therapy

    AAV-mediated CAR-T generation

    Evolved AAV capsids that improved targeted CAR-T generation and reduced the vector dose needed for primary T cell editing.

    • Capsid Evolution
    • AAV
    • Gene Therapy
  2. 022024Nature Communications

    Normothermic Liver Perfusion

    Used whole human liver perfusion to compare AAV vectors in a clinically relevant preclinical model.

    • Preclinical
    • AAV
    • Translational
  3. 032023Molecular Therapy Methods & Clinical Development

    FRG Mouse Model & AAV-LK03

    Characterized the humanized FRG mouse model and developed an AAV-LK03 variant with improved liver lobular biodistribution.

    • Biodistribution
    • Models
    • Vectorology

03Research focus

Core Competencies

  • 01

    Protein Language Models

    ESM-2, ProtTrans, pLM-based sequence analysis

  • 02

    AAV Capsid Engineering

    Directed evolution, capsid libraries, tropism engineering

  • 03

    Python & Data Science

    PyTorch, scikit-learn, pandas, data pipelines

  • 04

    Antimicrobial Discovery

    Peptide design, MIC assays, in vivo efficacy

  • 05

    Preclinical Validation

    Mouse models, pharmacokinetics, toxicology

  • 06

    Molecular Biology

    Cloning, protein expression, functional assays

04Experience

Experience and evidence

Three countries, three labs, one focus: turning sequence-level ideas into experimental proof.

I trained in Biotechnology at UAB Barcelona, took a Master's in Biomedical Engineering at UC Irvine, then returned to UAB for a PhD where we designed antimicrobial proteins end-to-end — from sequence design through recombinant production and functional assays. That stage produced two patents and four first-author papers.

At CMRI Sydney we built a platform to analyse millions of sequences and surface hundreds — sometimes thousands — of new antimicrobial peptides. Using protein language models, we tested those predictions in the lab and in preclinical models. In parallel we applied generative AI to protein engineering, designing AAV capsids for gene therapy.

  1. 2021 - 2026

    Research Officer

    Children's Medical Research Institute, Sydney

    We built a computational platform for antimicrobial peptide discovery — from protein language model predictions to preclinical validation in mouse models — and extended the same approach to AAV capsid engineering for gene therapy.

  2. 2016 - 2020

    Pre-doctoral Researcher

    UAB & IRTA, Barcelona

    We designed antimicrobial proteins from scratch — cloning, recombinant production, functional assays. Two patents and four first-author papers, eight total.

  3. 2015 - 2016

    Graduate Researcher

    University of California, Irvine

    We tracked estrogen receptor dynamics in living cells with single-molecule fluorescence microscopy and quantitative image analysis.

05Discuss a role

Proteins built for the part after prediction.

Open to roles and collaborations where computational design, molecular biology, and translational validation need to work together.

ramon.rocap@gmail.com