I work where biological complexity meets therapeutic decisions.
My background spans antibody immunotherapies, precision oncology, developmental neurobiology and computational tool building. Across those settings, my role is consistent: structure ambiguous questions, connect evidence across modalities and communicate what the data can—and cannot—support.
Profile
Computational biologist with 6+ years across industry and academia.
I combine deep biological context with hands-on analysis and software engineering. That means I can move from experimental design and QC to multi-omic integration, statistical modelling, interpretation and a result that an experimental or clinical team can use.
I hold a PhD in Bioinformatics and two MSc degrees in Bioinformatics & Biostatistics and Molecular Biology. I have worked in Spain, Germany, the United Kingdom and Sweden, and collaborate comfortably across disciplines and cultures.
Current BioInvent InternationalBased Lund, SwedenAvailable September 2026
Career
Professional experience
Aug 2025 — Aug 2026Lund, Sweden
BioInvent International AB
Bioinformatics Research Scientist
Lead multi-omic analysis across the BI-1206 anti-FcγRIIB and BI-1808 anti-TNFR2 antibody programs, connecting patient, mouse and in-vitro evidence.
Resolve response mechanisms, immune-cell states and tissue niches using scRNA-seq, CITE-seq, spatial transcriptomics, bulk RNA-seq, proteomics and clinical metadata.
Support target validation, biomarker strategy, patient selection and go/no-go decisions while building reusable AWS/HPC analysis environments.
Sep 2024 — Jan 2025Seville, Spain
Bristol Myers Squibb
Visiting Scientist, Computational Biology
Designed patient-derived gene signatures across lung, pancreatic and breast cancers for precision-medicine and resistance questions.
Mapped cell lines, xenografts and organoids to clinical tumour subtypes using TCGA and DepMap/Celligner.
Analysed NanoString CosMx and 10x Visium HD spatial transcriptomics across tumour cohorts.
Sep 2020 — Sep 2024Alicante, Spain
Institute of Neurosciences, CSIC–UMH
Bioinformatics Research Scientist · PhD
Integrated cross-species scRNA-seq, RNA-seq and ATAC-seq to define conserved cortical stem-cell programs and regulatory elements.
Identified gene signatures in paediatric brain tumours through public-data meta-analysis and mouse-model benchmarking.
Built and published an R Shiny single-cell atlas and mentored two MSc students.
Mar 2023 — Jun 2023Munich, Germany
Helmholtz Munich
Visiting Scientist, Bioinformatics
Combined Hi-C and ATAC-seq to study open chromatin, enhancer contacts and transcription-factor motifs.
Trained ChromBPNet to predict chromatin accessibility and sequence motifs directly from DNA sequence.
2017 — 2019Madrid · London
IMDEA · SUEZ
Junior Scientist
Early scientific roles that built my foundations in experimental biology, data analysis and cross-functional research.