I'm an analytical chemist and computational mass spectrometrist. I build measurement systems using methods, instrumentation, and software to produce reliable results.
My work spans analytical method development, mass spectrometry, computational chemistry, and scientific software. I focus on reproducible workflows, traceable results, and distinguishing what the evidence supports from what remains uncertain.
MSMCP — An open-source Model Context Protocol server that gives AI agents access to mass spectrometry tools. Supports exact-mass calculations, isotope analysis, spectral similarity, quality control, and library searching. Spectral data remains server-side, with provenance attached to derived results.
Website: msmcp.dev
MassFlow — A local-first MS/MS annotation engine for searching experimental spectra against reference libraries. Provides candidate ranking, target-decoy confidence diagnostics, and traceable exports. Designed to distinguish spectral similarity from confirmed chemical identification.
ChromaMCP — Planned chromatographic analysis tools for AI-assisted scientific workflows, informed by USP and ICH standards. Currently at the specification stage.
PySharpe — A Python toolkit for quantitative portfolio research, optimization, and backtesting, with particular attention to Canadian investors, account structures, and reproducible financial analysis.
Computational ion mobility–mass spectrometry, collision cross-section determination, and molecular substructure analysis. Some work remains private during development.
- Website, research, and publications: ericjanusson.ca
- Researcher ID: ORCID
- Contact: eric@ericjanusson.ca