Dr. Nao Iwamoto

Associate Director | Computational Biology & Multi-omics Data Science | Pharma R&D | Phosphoproteomics & AI-driven Drug Discovery

* Led phosphoproteomics-driven target discovery projects with responsibility for conceptual design, analysis execution, and mechanistic interpretation. * Developed new computational frameworks incl. robust peptide summarization, residual modeling, PTM-based signaling analyses and QC pipelines. * Introduced standardized, reproducible workflows and two R packages that significantly improved throughput and interpretability of multi-omics datasets, directly impacting 10+ R&D projects.

Computational Genetic Science Manager in Human Genetics and Computational Biology, Computational Proteomics and Metabolomics Role & Impact * Led computational analyses integrating human genetics, proteomics and metabolomics to support target discovery. * Developed analytical strategies and multi-omic evidence packages for projects in e.g. neurodegenerative, respiratory diseases and immunology. * Partnered with global cross-functional teams including biology, clinical, safety, and data platforms.

Bioinformatics / Computational Metabolomics * Built and maintained production-level metabolomics analysis pipelines in R. * Acted as a central bioinformatics expert connecting Computational Biology, Biology and multiple R&D teams. * Delivered high-quality, reproducible data analyses for projects across the organization.

Project management and grant writing, Completion of projects and scientific publications, Analysis of high throughput data (Proteomics and Transcriptomics), Supervision of fellow students and researchers, Computational systems biology with strong focus on MatLab and GNU R programming

Experimental and Computational Systems Biology Data analysis of high-throughput data (Proteomics and Transcriptomics) Mathematical modeling using MatLab and GNU R Supervision of fellow students and researchers Teaching and supervision of practical courses Scientific publications (manuscripts, posters and oral presentations)

Experimental and Computational Systems Biology, Data analysis of high-throughput data (Proteomics and Transcriptomics), Mathematical modeling using MatLab and GNU R, Scientific publications (manuscripts, posters and oral presentations)

Major Cancer Biology Computational Systems Biology iGEM Team Heidelberg 2009

Biophysics Theoretical and experimental biophysics Systems biology